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Low phase noise voltage controlled micro- and millimetre wave oscillators

by
Stefan Andersson

Technical Report No. 301L

Submitted to the School of Electrical and Computer Engineering
Chalmers University of Technology
in partial fulfilment of the requirements for the degree of
Licentiate of Engineering

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Microwave Electronics Laboratory
Department of Microelectronics
Chalmers University of Technology
S-412 96 Göteborg, Sweden
November 1998

ISBN 91-7197-743-0


Table of contents

  1. Abstract and introduction
  2. Definitions
  3. Origin of the phase noise
    1. Sources of noise
      1. Shot noise
      2. Thermal noise
      3. Flicker noise
      4. Burst noise
    2. Basic voltage controlled oscillator operation
      1. Simple criteria of oscillation
      2. Phase noise generating process
  4. Low phase noise design
    1. Filtering
      1. Resonators
      2. Optimal coupling
    2. Operation point stability
    3. Optimum power level
    4. Choosing the amplifying device
    5. Optimum RF noise impedance
    6. Optimum bias point
    7. Optimum bias impedances
    8. Low frequency feedback
    9. Separate amplitude limiter
    10. Choosing frequency determining device
    11. Multiplication
    12. Frequency discriminator stabilised oscillators
    13. Balanced oscillator
    14. Transposed gain
    15. Laser
    16. Optimisation
      1. Device modelling
  5. Discussion
  6. Acknowledgements
  7. Appendix A
  8. Appendix B
  9. Appendix C: A Frequency discriminator stabilised transmission mode oscillator with common resonator
    1. Introduction
    2. Topology and principle of operation
    3. Initial simulation results
    4. Design
    5. Measured results
  10. References

1 Abstract and introduction

Phase noise is the limiting factor in almost all microwave systems as of today. The phase noise causes decreased resolution in radar systems, symbol interference in transmission links, restricted resolution in spectrum analysers and more. Of course, the industry of today is interested in finding solutions to these problems.

The aim of this work is to report about different published techniques, extended with my own work and ideas, on how to design low phase noise electronically controlled oscillators for micro- and millimetre wave frequencies.

First the report goes through the most important definitions on phase noise. After that, the sources of noise, the oscillator operation and the phase noise generating process is examined. Finally, an extensive and occasional profound list of different methods for designing low phase noise oscillators is compiled.

Techniques for measuring phase noise are not covered. Outer arbitrary effects such as mechanical vibrations, load variations, noise from bias sources and temperature drift are not covered as well. Neither is techniques employing cryogenic temperatures covered. The problem of simulating the phase noise in oscillators is only briefly discussed.

Keywords: phase noise, FM noise, PM noise, noise, microwave, millimetre wave, mm-wave, radio, RF, oscillator, VCO, 1/f noise, oscillation criteria, resonator, delay line, stabilised, quartz crystal, phase error, microstrip resonator, cavity resonator, dielectric resonator, DR, DRO, surface acoustic wave, SAW, sapphire resonator, whispering gallery mode, YIG sphere, YIG film, fibre optic, Fabry-Perot resonator, device, silicon bipolar transistor, Si BJT, gunn diode, MESFET, HEMT, HFET, PHEMT, HBT, amplitude limiter, automatic gain control, AGC, clipping diode, varactor, anti series, piezo electric, magnetostrictive, terfenol, multiplier, phase locked loop, PLL, frequency discriminator, balanced oscillator, transposed gain, laser.

2 Definitions

Consider an oscillator output signal g(t) with a phase distortion Φ(t)

  
g(t)=Acos[2πf0t+Φ(t)](1)

Compiled from [1], [2], [3] and [4] we have the spectral density of phase fluctuations SΦ (units rad²/Hz)

  
SΦ(fr) 1 {F[Φ(t)]}²
pix
2
(2)

where the capital F denotes the Fourier transform and fr denotes the frequency deviation with respect to the carrier frequency f0. (fr=f−f0)

The spectral density of frequency fluctuations is (units Hz²/Hz)

  
Sf(fr)= 
1
pix
2
{F[fr(t)]}²= 
1
pix
2(2π)²
c F b
pix
∂t
Φ(t) bc ² =
ω2
r
pix
2(2π)2
 
{F[Φ(t)]}²= 
f2
r
SΦ(fr) 
(3)

The most commonly used quantity to characterise phase noise is the single sideband noise to carrier ratio in dBc/Hz

  
L(fr) =10·Log p PSSB p
pix
PC
(4)

where PC is the power in the carrier and PSSB is the single sideband power created by the phase distortion. A small angle approximation can be made if Φ(t)<<1, with the result that SΦ(fr) can be interpreted as the double sideband noise to carrier ratio. In this case, the single sideband noise to carrier ratio in dBc/Hz is

  
L(fr) =10·Log b SΦ(fr) b
pix
2
(5)

The small angle approximation is valid for L(fr) values up to approximately −20 dBc/Hz, which is sufficient in almost all practical cases concerning low phase noise oscillators. Complicated modulation theory incorporating Bessel functions is necessary above this level.

For example, suppose that the phase distortion is

  
Φ(t)=
sqrt pix
2
Φ0RMSsin(2πfmt) 
(6)

and

  
Φ0RMS<<1(7)

In this case the spectral density of phase fluctuations (2) becomes

  
SΦ(fr)  1 {F[
sqrt pix
2
Φ0RMSsin(2πfmt)]}²= 
pix
2
2 {F[sin(2πfmt)]}²= 
0RMS
2 [δ(fr−fm)+δ(fr+fm)] 
0RMS
(8)

Going back to the oscillator output signal (1) and inserting the phase distortion (6) one gets

  
 g(t)=Acos[2πf0t+
sqrt pix
2
Φ0RMSsin(2πfmt)]= 
 =A{cos(2πf0t)cos[
sqrt pix
2
Φ0RMS sin(2πfmt)]−sin(2πf0t)sin[
sqrt pix
2
Φ0RMSsin(2πfmt)]}= 
 ={Φ0RMS<<1}≈A{cos(2πf0t)−sin(2πf0t)
sqrt pix
2
Φ0RMSsin(2πfmt)}= 
 =Acos(2πf0t)− 0RMS {cos[2π(f0−fm)t]−cos[2π(f0+fm)t]} 
pix
sqrt pix  
2
(9)

which has the power density spectrum (units V²/Hz, A²/Hz...):

   
S(f)= 
pix
2
 δ(f −f0)+ 
A²Φ 2
0RMS
pix
4 
{δ[f−(f0−fm)]+δ[f−(f0+fm)]} 
(10)

where, f denotes the absolute frequency (f = f0+fr).

The term  δ(f−f0)  represents the carrier, and the term
A²Φ 2
0RMS
{δ[f−(f0−fm)]+δ[f−(f0+fm)]} represents two sidebands.
pix pix
2 4
The spectrum is depicted in figure 1. Since the delta functions give infinite values at f0 and f0±fm, the spikes are drawn thick to point this out, and their levels are drawn proportional to the power associated with each tone. Using the relative frequency fr instead one gets
   
S(fr)= 
pix
2 
 δ(fr)+ 
A²Φ 2
0RMS
pix
4 
[δ(fr+fm)+δ(fr−fm)]
(11)

The single sideband noise to carrier ratio in dBc/Hz becomes:

   
L(fr) =10·Log p PSSB p =
pix
PC
=10·Log p
A²Φ 2 2
0RMS
p [δ(fr−fm)+δ(fr+fm)] =
pix
4A²
=10·Log p
Φ 2
0RMS
p [δ(fr−fm)+δ(fr+fm)]
pix
2
(12)

The same result would appear using (5) and (8).

fig
Figure 1 Power density spectrum of exemplified oscillator signal.


3 Origin of the phase noise

One way of looking at oscillator phase noise is to study how the oscillator transforms basic noise sources into phase noise. To do this, it is necessary to study the functionality of the oscillator, and have some knowledge of noise sources.

3.1 Sources of noise

Different forms of noise sources are [5]:

3.1.1 Shot noise

Shot noise originates from the random passage of carriers across a junction in a transistor or a diode, with the spectral density

   
pix
 =2qI
pix
Δf
(13)

where q is the electron charge, I is the average current and Δf is a bandwidth.

3.1.2 Thermal noise

Thermal noise originates from the random thermal motion of electrons in a resistor R, with the spectral density

   
pix
 =  4kT
pix pix
Δf R
(14)

where k is Boltzmann's constant, T is the absolute temperature and Δf is a bandwidth.

3.1.3 Flicker noise

This type of noise is also frequently referred to as 1/f-noise. The origin of flicker noise is still a matter of discussion. Flicker noise is present in all active, and some passive devices and always in association with a direct current flow. The spectral density is

   
pix
 =K Ia
pix pix
Δf fb
(15)

where
K is a constant for a particular device,
I is the average current,
a is a constant in the range 0,5 to 2,
f is the frequency,
b is a constant about unity and
Δf is a small bandwidth at frequency f.

3.1.4 Burst noise

Burst noise is also referred to as popcorn noise and g-r (generation recombination) noise. The origin is a matter of discussion as well. The spectral density is

   
pix
 
 =K
Ia
pix pix
Δf
1+ p f p ²
pix
fgr
(16)

where
K is a constant for a particular device,
I is the average current,
a is a constant in the range 0,5 to 2,
f is the frequency,
fgr is a particular frequency for a particular noise process and
Δf is a small bandwidth at frequency f.

Burst noise often occur with multiple time constants, and this gives rise to multiple humps in the low frequency parts of the noise spectrum. At higher frequencies the white noise of thermal and shot noise dominates. The frequency at which the white noise level is equal to the flicker noise level is referred to as the corner frequency fc. The spectral density of composite noise can appear as in figure 2.

fig
Figure 2 Spectral density of composite noise.

3.2 Basic voltage controlled oscillator operation

In this section, first the simple criteria for oscillation in a noiseless oscillators will be treated and then a discussion on the phase noise generating process in oscillators is carried out.

3.2.1 Simple criteria of oscillation

First, consider the two interconnected multiport networks with scattering parameter matrices S1 and S2 in figure 3.

fig
Figure 3 Two interconnected multiport networks.

We have the wave vector

   
pix =S1 pix
b a
(17)

and also the wave vector

   
pix =S2 pix
a b
(18)

Combining (17) and (18) one get

   
pix =S1S2 pix
b b
(19)

which can be rearranged into

   
(I−S1S2) pix = pix
b 0
(20)

where I is the unit matrix. The non-zero solution representing a possible oscillation is

   
det(I−S1S2)=0(21)

This deduction can also be found in [6]. A stability criteria, which will be treated in section 4.2 "Operation point stability", must be met together with this necessary oscillation criteria for a stable oscillation.

Example 1, reflection mode oscillator

fig
Figure 4 Reflection-, or negative resistance oscillator.

In this case the two networks S1 and S2 consists of two impedances Z=R+jX and Za=Ra+jXa. One of the two impedances have a negative real part (Ra<0). The related reflection coefficients Γ and Γa, are described by

   
S1 a= p Za−Z0 p
pix
Za+Z0
(22)

and

   
S2 =Γ= p Z−Z0 p
pix
Z+Z0
(23)

The oscillation criteria (21) becomes

   
det(1−ΓaΓ)=0(24)

with the solution

   
Γa Γ=1⇒
pix Γa pix
= 1  & ∠Γa+∠Γ=n·360°
pix
pix Γ pix
(25)

where n is an integer. In section 3.2.2 and section 4.1.1 it will be shown that a larger value of n can lower the phase noise. Unfortunately, it also dramatically increases the risk of unwanted spurious oscillations.

Here one should keep in mind that the active device giving the reflection coefficient greater than 1 has a bigger small signal value than large signal value due to the saturation at steady state oscillation. A margin in the order of a few decibels is therefore needed as a start-up criteria, since the greater-than-1-reflection-coefficient given by the active device will decrease as the oscillation builds up to the steady state level, which is given by the saturating level of the active device.

   
pix Γa pix
> 1  & ∠Γa+∠Γ=n·360°
pix
pix Γ pix
(26)

With impedances we get from (22), (23), (25)

   
p Za−Z0 p p Z−Z0 p =1
pix pix
Za+Z0 Z+Z0
(27)

which can be rearranged into

   
ZaZ−ZaZ0−Z0Z+Z 2 =ZaZ+ZaZ0+Z0Z+Z 2
0 0
(28)

with the solution

   
Za+Z=0 ⇒ Ra=−R & Xa=−X (29)

Here too, one need a margin factor for the ratio of the small signal negative resistance −Ra over the load resistance R of the order of a few times for oscillation to start. Often a −Ra/R ratio of 3 is sufficient.

   
Ra>−R & Xa=−X(30)

Example 2, transmission mode oscillator

fig
Figure 5 Transmission mode oscillator.

In this case the two networks S1 and S2 consists of an amplifier and a feedback network, with scattering parameter matrixes

   
S1= p 0  0  p
S21A  0
(31)

and

   
S2= p 0  S21R p
S21R 0
(32)

the oscillating criteria (21) becomes

   
pix p 1     0 p p 0 p p 0 S21R p pix =0
0 1 S21A  0 S21R 0
(33)

which simplifies into

   
pix p 1     0 p p 0 0 p pix =0
0 1 0   S21AS21R
(34)

and further into

   
pix 0 pix =1−S21AS21R=0
0 1−S21AS21R
(35)

with the solution

   
S21A S21R=1⇒
pix S21A pix
= 1  & ∠S21A+∠S21R=n·360°
pix
pix S21R pix
(36)

Here too, one need a margin for the amplification in the order of a few decibels, usually the level 3 dB is mentioned, and the integer n should be chosen carefully.

   
pix S21A pix
> 1  & ∠S21A+∠S21R=n·360°
pix
pix S21R pix
(37)

Example 3, oscillating two port transistor

fig
Figure 6 Transistor oscillator.

A transistor with one connector grounded, possibly via some reactance, as depicted in figure 6, form a two-port network described by the scattering parameter matrix

   
S1 p S11 S12 p
S21 S22
(38)

It could for example be a field-effect transistor with its source grounded or a bipolar transistor with its base grounded via an inductor. Two impedances ZL and ZT with reflection coefficients ΓL and ΓT, as depicted in figure 6 form a two-port network described by the scattering parameter matrix

   
S2 p ΓL  0 p
0  ΓT
(39)

The two impedances ZL and ZT could for example be a resonator and a load. Interconnecting the two two-port networks S1 and S2, as depicted in figure 6, one gets a possible oscillator. The oscillating criteria (21) becomes

   
pix p 1     0 p p S11 S12 p p ΓL 0 p pix =0
0 1 S21  S22 0  ΓT
(40)

which simplifies into

   
pix 1−S11ΓL    −S12ΓT pix =(1−S11ΓL)(1−S22ΓT)−S12ΓTS21ΓL=0 
−S21ΓL    1−S22ΓT
(41)

with two different possible formulations

   
i
i
i
i
i
1−S11ΓL  S12ΓTS21ΓL
pix
1−S22ΓT
1−S22ΓT  S12ΓTS21ΓL
pix
1−S11ΓL
(42)

with the well known solutions

   
i
i
i
i
i
1  = S11+   S12ΓTS21
pix pix
ΓL 1−S22ΓT
1  = S22+   S12S21ΓL
pix pix
ΓT 1−S11ΓL
(43)

The oscillation criteria will be fulfilled if either one of the two criterias are met since they both derive from the same oscillation criteria equation.

3.2.2 Phase noise generating process

Consider a simple oscillator consisting of an amplifier and a feedback path as illustrated in figure 7.

fig
Figure 7 Simple oscillator.

Oscillation starts by amplification of noise. If the amplifier was all linear, the amplitude in this oscillator would either decrease to zero or grow to infinity depending on the total gain in the loop (> 0 dB). Lets assume that the small signal loop gain is greater than 0 dB. Real amplifiers always have some amplitude non-linearity, usually provided by gain compression. That is, the gain compression decreases the loop gain above a certain amplitude level, thereby stabilising the amplitude level to a fixed value. Let us extract this amplitude non-linearity (with zero phase shift) from our amplifier to a separate block and consider our amplifier being somewhat more linear, see figure 8.

fig
Figure 8 Simple oscillator model with semi linear amplifier.

The frequency of oscillation is given by equation (36), that is (S21 refer to the amplifier)

   
∠S21|f = n·360° (44)

This frequency of oscillation may not be equal to a desired frequency of oscillation. Therefore, an additional phase shift for example in the form of a transmission line with delay time τ can be inserted to shift the frequency to a desired value, see figure 9.

fig
Figure 9 Oscillator model with semi linear amplifier.

Now the frequency of oscillation is given by the condition

   
∠S21|f +2πfτ = n·360° (45)

The solution is illustrated in figure 10.

fig
Figure 10 Frequency of oscillation.

There are voltage dependent reactances present in the amplifier (for example a reverse biased pn-junction) which are effected by noise (see section 3.1, "Sources of noise"). These noise effected reactances cause the phase shift of the amplifier to vary. Therefore we extract a noise driven phase shifter from the amplifier in our oscillator model and consider the amplifier to be completely linear after that. See figure 11.

fig
Figure 11 Oscillator model with linear amplifier.

The model is also useful for reflection type oscillators if modified into the circuit depicted in figure 12.

fig
Figure 12 Reflection oscillator model with linear device.

The oscillator models reveals three different phase noise generating processes:

  1. mixing between the frequency of oscillation and low frequency noise at the amplitude limiting non-linearity.
  2. modulation of the amplifier phase shift by low frequency noise sources.
  3. modulation of the amplifier phase shift by in-band noise sources (AM to PM conversion).

Of the above phase noise generating processes, the first two that are caused by low frequency noise usually dominate. Most, if not all, methods for designing low phase noise oscillators approaches the problem accounting for one or more of the three above processes.

A small phase shift ΔΦ in the noise driven phase shifter causes a small shift in frequency of oscillation Δf as depicted in figure 13:

fig
Figure 13 Phase to frequency dependency.

We have

   
 
Δf =
∂f pix f0
pix
∂Φ
 
ΔΦ = 
ΔΦ   
=
ΔΦ
pix pix
∂Φ pix f0
pix
∂f
∂Φ pix ω0
pix
∂ω
(46)

The spectral density of frequency fluctuations using equation (3) becomes

   
 
Sf(fr) =
1  
[F(Δf)]²=
[F(ΔΦ)]²  
=
S'Φ(fr)
pix pix pix
2
2 p ∂Φ pix f0 p ²
pix
∂ω
p ∂Φ pix f0 p ²
pix
∂ω
(47)

where S'Φ(fr) denotes the spectral density of phase fluctuations for the open loop amplifier, not the closed loop oscillator. Using (3) again, the closed loop oscillator spectral density of phase fluctuations becomes:

   
 
SΦ(fr) = 
S'Φ(fr)
pix
p 2πfr ∂Φ pix  f0 p ²
pix
∂ω
(48)

This equation is valid close to the carrier only. The closed loop spectral density of phase fluctuations is expected to be equal to the open loop spectral density of phase fluctuations for large fr values. We extend the equation to cover these values as well:

   
 
SΦ(fr)=
b  
1+
1 b  
S'Φ(fr)
pix
p 2πfr ∂Φ pix  f0 p ²
pix
∂ω
(49)

A similar deduction can be found in [1]. The usefulness of this equation is that it gives an explanation to the observed spectral densities of oscillations. However, it's very difficult to calculate the open loop spectral density of phase fluctuations S'Φ(fr) since closing the loop alters the conditions for the noise levels due to non-linear effects. Nevertheless, the open loop spectral density of phase fluctuations S'Φ(fr) is expected to be on the form as depicted in figure 2. Neglecting burst noise one get

   

SΦ(fr)=
b
1+
1 b p
1+
fc p
S'Φ0
pix pix
p 2πfr ∂Φ pix  f0 p ²
pix
∂ω
fr
(50)

The resulting closed loop spectral density of phase fluctuation, including some burst noise, for the two cases

   
 
fc>
1  
=A
pix
∂Φ pix  f0
pix
∂ω
(51)

and

   
 
fc<
1  
=A
pix
∂Φ pix  f0
pix
∂ω
(52)

are depicted in figure 14

fig
Figure 14 Oscillator phase noise spectral densities.

The different sections are:
1/f4 Modulated burst noise
1/f³ Modulated flicker noise
1/f² Modulated white noise or unmodulated burst noise plateau
1/f1 Unmodulated flicker noise
1/f0 Unmodulated white noise


4 Low phase noise design

4.1 Filtering

Equation (48) indicates a possibility to reduce the phase noise by inserting a steep phase to frequency derivative block in the oscillator. Resonators and delay lines can provide such steep phase to frequency derivative. They will be treated in this section.

Consider the series resonant circuit in figure 15.

fig
Figure 15 Series resonator.

The current is

   
 
I=
U  
=
U
pix pix
R+jωL+ 1
pix
jωC
R p 1+j p ωL 1 p p
pix pix
R ωRC
(53)

At resonance we have

   
ω0L =  1  ⇒ IMAX =  U
pix pix
ω0C R
(54)

and the definition

   
 
QL
Δ
  =  
1 sqrt pix  =  ω0L  =  1
L
pix pix pix pix
R C R ω0RC
(55)

The L-index on QL is for to clarify that this is the operating, or loaded-Q. Inserting (54) and (55) into (53) we get

   
I  
=
1  
=
1
pix pix pix
IMAX
1+j p ωL 1 p
pix pix
R ωRC
1+jQL p ω ω0 p
pix pix
ω0 ω
(56)

Similarly, consider the parallel resonant circuit in figure 16.

fig
Figure 16 Parallel resonator.

The voltage is

   
 
U=I
1  
=
RPI  
=
RPI
pix pix pix
1  + 1 +jωC
pix pix
RP jωL
1+ RP +jωRPC 
pix
jωL 
1+j p ωRPC− RP p
pix
ωL 
(57)

similarly, at resonance we have

   
ω0L =  1  ⇒ UMAX = RPI
pix
ω0C
(58)

and similarly, the definition

   
 
QL
Δ
  =  
 
RP
sqrt pix  =  RP  
 = ω0RPC
C
pix pix
L ω0L
(59)

inserting (58) and (59) into (57) we get

   
U  
=
1  
=
1
pix pix pix
UMAX
1+j p ωQL  −  ω0QL p
pix pix
ω0 ω
1+jQL p ω  −  ω0 p
pix pix
ω0 ω
(60)

The similarities between (56) and (60) are obvious. In both series (figure 15) and parallel (figure 16) resonators the current or voltage to maximum current or voltage ratio is

   
I  
=
U  
=
1
pix pix pix
IMAX UMAX
pix
1+jQL p ω  −  ω0 p
pix pix
ω0 ω
(61)

With the phase being

   
Φ= −arctan p QL p ω ω0 p p
pix pix
ω0 ω
(62)

and the phase to frequency derivative

   
∂Φ  
=
−1 p  
QL
p ω  
ω0 p p  
=
−QL p 1  
+
ω0 p
pix pix pix pix pix pix pix pix
∂ω
pix
1+ p QL p ω ω0 p p ²
pix pix
ω0 ω
∂ω ω0 ω
pix
1+ p QL p ω ω0 p p ²
pix pix
ω0 ω
ω0 ω²
(63)

at resonance we get

   
∂Φ pix ω=ω0 = −QL p 1 + 1 p = −2QL = −QL
pix pix pix pix pix pix
∂ω 1 ω0 ω0 ω0 πf0
(64)

Inserting (64) into (48) results in

   
SΦ(fr) =  p f0 p S'Φ(fr)
pix pix
2QL
f 2
r
(65)

which is sometimes referred to as the Leeson model [1]. As seen in (65), maximising the loaded quality factor QL minimises the phase noise. It is a generally accepted method [2], [7], [8], [9]. It should be pointed out that if the resonator's own flicker noise dominates in the phase noise generating process there will be no reduction of the phase noise due to an increased loaded quality factor QL [2], [10]. The situation is rare, and only appears when the resonator incorporates some biased device, for example a biased laser diode in a fibre optic delay line resonator.

The resonator, labelled "Q" may be connected inside the oscillating loop:

fig
Figure 17 Feedback oscillator with resonator.

It is very important to design the phase shift in the oscillation loop correctly so that the frequency of oscillation is equal to the resonators resonant frequency, where its phase to frequency derivative is maximum [11]. A phase error Φ in the feedback loop has been shown to strongly degrade the phase noise performance of the oscillator with a 1/cos4Φ dependence [12].

In another method of connecting a resonator one uses a circulator as in figure 18. This is sometimes referred to as "self injection locking" [13], [14].

fig
Figure 18 Self injection locked oscillator.

Long delay lines are also capable of providing a steep phase to frequency derivatives. Such delay lines should not be confused with transmission lines used as resonators where their ends are loosely coupled. With long delay lines one need to take extra care to avoid spurious oscillations. The phase of a delay line is

   
Φ = −2πfτ (66)

where τ is the delay time. Using (64) one gets a corresponding quality factor for delay lines

   
∂Φ  = −τ = −  2QL  ⇒ QL=  ω0τ  = πf0τ
pix pix pix
∂ω ω0 2
(67)

4.1.1 Resonators

The choice of resonator is often affected by other aspects than the quality factor, such as available space, cost etceteras. Generally, reflection mode resonators can have a larger loaded quality factors than transmission mode resonators since they have fewer ports causing power loss, and thereby are less loaded.

The simplest form of resonators are lumped inductor capacitor resonators. Their quality factors are poor since the inductors usually have a considerable resistance.

Quartz crystals are inexpensive and have excellent quality factors. They are the standard solution in the KHz and MHz range.

Loosely coupled sections of open- or short circuited transmission lines are used in the 100 MHz to 1 GHz range, see figure 19. Typical values for quality factors range from several hundreds up to about 10 000 [15].

fig
Figure 19 Transmission line resonators.

Microstrip resonators typically produce quality factors in the range 100 to several hundred [15]. Some examples of microstrip resonators are depicted in figure 20.

fig
Figure 20 Microstrip resonator examples.

Cavity resonators can produce quality factors in the range 10 000 to 40 000 or more [15]. For example, the optimum quality factor of a TE011 mode cylindrical copper cavity (see figure 21) is approximately [15]

   
QTE011 ≈ 3·109
pix
sqrt pix
f
(68)

which equals 42 426 for a 5 GHz cavity.

fig
Figure 21 Cavity resonator.

Dielectric resonators (see example in figure 22) have typical quality factors ranging from around 100 to several hundred. Normally the dielectric resonator is enclosed in a shielding box, and then the quality factor can approach the intrinsic quality factor of the dielectric material, which is equal to the reciprocal of the loss tangent. (in the range 2 000 to 28 000). Dielectric resonators are often preferred before cavity resonators due to their compactness, originating from the dielectric resonator's high dielectric constant [15].

fig
Figure 22 Dielectric resonator.

Surface acoustic wave (= SAW) delay lines sometimes find their use as providers of steep phase to frequency derivatives.

Sapphire resonators in the whispering gallery mode can produce such high quality factors as 185 000 [16].

Yttrium-iron-garnet (YIG) is a frequently used material for resonators since its resonant frequency can be directly tuned by a biasing magnetic field. YIG-spheres are capable of quality factors of the order of ~200 [17]. Magnetostatic surface wave oscillators [18] made out of YIG-film can produce quality factors of ~1 800 [17]. Although their quality factors are not as high as other types of resonators, they will not be degenerated by the loading of a varactor since they can be tuned directly. Indeed a highly desirable property, enabling low phase noise and broad tuning range oscillators.

A fibre optic transmission line used as a delay line can produce a very high quality factor since it can easily be made very long without troublesome losses. A 6,2 km long fibre optic transmission line used at 7,2 GHz in [10] and [19] implies a quality factor of approximately 500 000 to 1 000 000.

Fabry-Perot resonators (see figure 23) are used from millimetre wave frequencies and beyond. They consists of two mirrors, or a cavity without side walls, capable of producing quality factors as high as 5 000 000 for submillimetre waves. The quality factor of a parallel (spacing d) copper plate Fabry-Perot resonator is approximately [20]

   
QFP ≈ 7,5d sqrt pix
f
(69)

which for a 4 cm spaced 94 GHz resonator equals 92 000.

fig
Figure 23 Fabry-Perot resonator consisting of two mirrors and a waveguide horn.

4.1.2 Optimal coupling

If feedback modified white noise dominates in the phase noise (which is usually not the case [2], [9], [21]), then the ratio of loaded quality factor to unloaded quality factor QL/Q0 can be optimised for minimum phase noise. That is a situation when SΦ(fr) is proportional to 1/fr² and it isn't a feedback modified burst noise plateau. First, consider the resonator in figure 24

fig
Figure 24 Resonator.

The unloaded quality factor Q0 is as before (59)

   
 
Q0
Δ
  =  
 
RP
sqrt pix  
 = ω0CRP
C
pix
L
(70)

while the loaded quality factor QL is (59)

   
QL Δ
=
 
ω0C p RP
pix pix pix
Z0
pix pix pix
Z0 p 0C p RP
pix pix pix
Z0 p 0C p
RPZ0
pix
2n²
p 0C p RPZ0 p
pix pix pix pix pix
2n²
RP+  Z0
pix
2n²
Z0+2n²RP
(71)

combining (70) and (71) we get

   
 
QL = Q0
Z0  
 = 
Q0
pix pix
Z0+2n²RP
1+  2n²RP
pix
Z0
(72)

The net reactance is null at resonance. Therefore, at resonance the resonator consists of three building blocks described by two transformers and one resistor. The transformers (figure 25)

fig
Figure 25 Transformer.

are described by the ABCD-matrix equation

   
p  v1 p = p
n1
pix
n2
  0   p p v2 p
 i1   0  
n2
pix
n1
−i2
(73)

and a resistor (figure 26)

fig
Figure 26 Resistor.

is described by the ABCD-matrix equation

   
p  v1 p = p
  1  
 
  0   p p v2 p
 i1
1
pix
RP
1 −i2
(74)

The complete resonator, at resonance, is described by the ABCD-matrix

   
ABCD= p   n     0   p · p 1   0   p · p
1
pix
n 
  0   p =
0
1
pix
n
1
pix
RP
1   0   n

= p n   0   p · p
1
pix
n 
  0   p = p 1   0   p
1
pix
nRP
1
pix
n
  0   n
1
pix
n²RP
1
(75)

from which we can calculate [22]

   
 
S21 = 
2  
 = 
2  
 = 
1
pix pix pix
A+  B  +CZ0+D
pix
Z0
1+  Z0  +1 
pix
n²RP
1+  Z0
pix
2n²RP
(76)

Using (72) one finds

   
 
S21 = 
1  
 = 
1  
 = 
Q0−QL
pix pix pix
 
1+ 
1
pix
Q0  −1
pix
QL
1+  QL
pix
Q0−QL
Q0
(77)

Now, looking back at figure 17 one realises that the amplifier gain G will have to overcome the resonator loss (77) and some other losses Lo in the feedback loop, that is

   
G=Lo 1 =Lo p Q0 p
pix pix
pix S21 pix ²
Q0−QL
(78)

With the amplifier being noisy with noise figure F and using (78) we get the spectral density of the output noise from the amplifier [5]

   
No=FGNi=FLoNi p Q0 p
pix
Q0−QL
(79)

where Ni is some white noise level at the input port, for example thermal noise. This noise will then generate open loop phase fluctuations due to AM-FM conversion with some proportionality constant, in this case called "B". When the oscillator loop closes, these phase fluctuations gets modified according to (65) resulting in a closed loop spectral density of phase fluctuations

   
SΦ(fr)= p f0 p ²  NoB =  BFLoNi p f0 p ² 1 p Q0 p ²  =
pix pix pix pix pix pix
2QL
f 2
r
4 fr
Q 2
L
Q0−QL

BFLoNi p f0 p ² 1
 = 
BFLoNi p f0 p ² 1
pix pix pix pix pix pix
4Q 2
0
fr
p QL p ² p 1− QL p ²
pix pix
Q0 Q0
4Q 2
0
fr
p QL p QL p ² p ²
pix pix
Q0 Q0
(80)

For to find its minimum value we first calculate it's derivative

   
∂SΦ(fr)
=
BFLoNi p f0 p ² −2 p
1−2
QL p
pix pix pix pix pix
QL
pix
Q0
4Q 2
0
fr
p QL  − p QL p ² p ³
pix pix
Q0 Q0
Q0
(81)

and setting the derivative equal to zero one gets

   
QL  =  1
pix pix
Q0 2
(82)

Similar deductions giving the same result can be found in [2] and [23]. In [24], [25] and [26] it is suggested that the value for QL/Q0 could be the above as suggested, or equal to 2/3. One should also keep in mind that the noise figure is dependent of the impedance at the amplifier's input port, see section 4.5.

4.2 Operation point stability

Following the outline in [27] we consider the simplified oscillator circuit in figure 27 below, where the non-linear amplitude dependence is put into an active device Za(A(t)), and the linear frequency dependence to a passive component Z(ω).

fig
Figure 27 Simple oscillator circuit.

Using (29) on the oscillating circuit we get

   
Z(ω0)+Za(A0)=R(ω0)+jX(ω0)+Ra(A0)+jXa(A0)=0 (83)

The disturbed oscillating current i(t) is

   
i(t)=A(t)cos[ω0t+Φ(t)] (84)

where the amplitude A(t) and phase Φ(t) only varies slowly compared to ω 0. The time derivative of the current becomes

   
∂i(t)
pix
∂t
 = −A(t)sin[ω0t+Φ(t)] p ω0+ 
∂Φ(t)
pix
∂t
p +
∂A(t)
pix
∂t
 cos[ω0t+Φ(t)]=

=Re p p jA(t) p ω0+ 
∂Φ(t)
pix
∂t
p +
∂A(t)
pix
∂t
p  ej[ω0t + Φ(t)] p

=Re p j p ω0+ 
∂Φ(t)
pix
∂t
 −j 
1
pix
A(t)
 
∂A(t)
pix
∂t
p  A(t)ej[ω0t + Φ(t)] p
(85)

In the steady state case, a time derivative equals multiplication by jω. Thus, in this semi-stationary case the disturbed oscillation can be described with a complex angular frequency

   
ω = ω0+  ∂Φ(t)  −j  1   ∂A(t)
pix pix pix
∂t A(t) ∂t
(86)

Since the phase Φ(t) and amplitude A(t) only varies slowly we can expand the impedance Z(ω) in a Taylor series around the angular frequency ω0.

   
Z(ω)≈Z(ω0)+  ∂Z(ω) pix ω0 (ω−ω0)=Z(ω0)+  ∂Z(ω) pix ω0 p ∂Φ(t) −j 1 ∂A(t) p =
pix pix pix pix pix
∂ω ∂ω ∂t A(t) ∂t

=R(ω0)+jX(ω0)+  p ∂R(ω) pix ω0 +j ∂X(ω) pix ω0 p p ∂Φ(t) −j 1 ∂A(t) p
pix pix pix pix pix
∂ω ∂ω ∂t A(t) ∂t
(87)

Similarly we can expand the impedance Za(A(t)) in a Taylor series around the mean amplitude level A0.

   
Za(A(t))≈Za(A0)+  ∂Za(A) pix A0 [A(t)−A0]= 
pix
 ∂A

=Ra(A0)+jXa(A0)+  p ∂Ra(A) pix A0 +j ∂Xa(A) pix A0 p [A(t)−A0] 
pix pix
∂A  ∂A 
(88)

the distortion voltage in figure 27 is

   
e(t) = [Z(ω)+Za(A(t))]i(t) = Re{[Z(ω)+Za(A(t))]A(t)ej[ω0t + Φ(t)]} (89)

Following the deductions in Appendix A this leads to

   
∂X(ω)   pix  ω0 ∂Ra(A)   pix  A0 −  ∂R(ω)   pix  ω0 ∂Xa(A)   pix  A0 >0
pix pix pix pix
∂ω ∂A  ∂ω ∂A 
(90)

Which is the criteria for a stable oscillation. Of course, if it does not apply there will be no oscillation. It has a graphical interpretation which can be found by letting

   
∂Z(ω)  =  ∂R(ω)  + j  ∂X(ω)  =  pix   ∂Z(ω)   pix  cosα + j  pix   ∂Z(ω)   pix  sinα
pix pix pix pix pix
∂ω ∂ω ∂ω ∂ω ∂ω
(91)

and

   
−  ∂Za(A)  = −  ∂Ra(A)  − j  ∂Xa(A)  =  pix   ∂Za(A)   pix  cosβ + j  pix   ∂Za(A)   pix  sinβ
pix pix pix pix pix
∂A  ∂A  ∂A  ∂A  ∂A 
(92)

Then (90) becomes

   
pix ∂Z(ω) pix ω0 pix sinα pix ∂Za(A) pix A0 pix cosβ+ pix ∂Z(ω) pix ω0 pix cosα pix ∂Za(A) pix A0 pix sinβ>0
pix pix pix pix
∂ω ∂A  ∂ω ∂A 
(93)

which can be simplified into

   
pix ∂Z(ω) pix ω0 pix pix ∂Za(A) pix A0 pix (sinαcosβ−cosαsinβ)>0
pix pix
∂ω ∂A 
(94)

and further into

   
sin(β−α)>0 (95)

which gives

   
0<β−α<π (96)

The graphical interpretation is depicted in figure 28 where the arrows indicate increasing angular frequency and amplitude respectively.

fig
Figure 28 Graphical interpretation of stability criteria.

The graphical interpretation also holds for scattering parameters since the Smith chart is simply a conform reproduction which preserves the angles. In this case the curves should be

   
Γ(ω)=  Z(ω)−Z0
pix
Z(ω)+Z0
(97)

and

   
−Za(A)−Z0  =  Za(A)+Z0  =  1
pix pix pix
−Za(A)+Z0 Za(A)−Z0 Γa(A)
(98)

In Appendix B it is shown that the spectral density of phase fluctuations for the oscillator in figure 27 is

   
SΦ(fr)=  p f0 p

²
Se(fr) 2
1+ p f0A0 p ² pix ∂Za(A) pix A0 pix ²
pix pix
2frRQL ∂A 
pix pix pix pix
2QL
f 2
r
A 2
0
1+ p f0A0 p ² pix ∂Za(A) pix A0 pix ² sin²(β−α)
pix pix
2frRQL ∂A 
(99)

The optimum value is obtained for β−α=90°. Common sense tells that this is minimising the AM to PM conversion coefficient.

    
SΦ(fr)=  p f0 p ² Se(fr) 2
pix pix pix
2QL
f 2
r
A 2
0
(100)

The method is recognised by [7], [8], [21] and [9] among others. It is a striking resemblance between equation (100) and (65). Even more if one consider that the distortion voltage is amplitude dependent.

4.3 Optimum power level

Increasing the oscillator power level does not result in a direct reduction in oscillator phase noise level [2] even though equation (100) implies that increasing the power level P

    
P= 
A 2 R
0
pix
2 
(101)

should lower the phase noise. One reason for this can be that an increased power level usually requires an increased bias current, and the fact that the noise sources that has the greatest effect on the phase noise are current dependent (15), (16).

4.4 Choosing the amplifying device

All phase fluctuations will add linearly in an oscillator loop. There is no first critical block as in a reciver where the first low noise amplifier dominates. Thus, a multistage amplifier will generally have a higher flicker noise level than a single stage amplifier [2].

Of course, one should choose a device with small low-frequency noise [7], [8]. The options are limited by a number of factors such as if the device is available at an acceptable price for the design frequency and if the device is compatible with intended manufacturing process etceteras.

It is difficult to draw any conclusions from comparisons between different oscillator circuits since it is difficult to know exactly what one is comparing. Questions that arises are: is the devices operating on its optimum bias point, what low frequency impedance is the device exhibiting and what quality factor had the resonator? Nevertheless, the combined experiences from a number of authors give some aid in the decision making.

The silicon bipolar transistor (Si BJT) is probably the best choice when it comes to phase noise [8], [28], [29] and [9]. [9] mentions gunn as the second best choice. Good results have been reported with heterojunction bipolar transistors (HBT), and especially with indium phosphide (InP) based ones [30], [31]. Pseudomorphic high electron mobility transistors (PHEMT's) have been found to be better than HBT's [32]. PHEMT's have been found to be equally good with metal semiconductor field effect transistors (MESFET), that are usually better than high electron mobility transistors (HEMT) [33], [34].

The above and phase noise levels mentioned in the references can be summed up in the following ranking list:

  1. Si BJT's.
  2. Gunn diode
  3. MESFET, PHEMT and HBT exhibit approximately 10 dB degeneration compared to Si BJT.
  4. HEMT exhibit approximately 20 dB degeneration compared to Si BJT.

The ongoing improvements in device technology, inconsistent terminology (PHEMT's being called HEMT's etceteras.) complicates the picture. One can see that the low-frequency noise level are usually higher in field effect transistors (probably due to the lateral structure) than in bipolar transistors (probably due to the vertical structure), but on the other hand, the up-conversion mechanism is worse in bipolar transistors (probably due to a more non-linear function). Aluminium doping have been found to increase the low-frequency noise level. Field effect transistors are a few years more mature than bipolar transistors at high frequencies.

4.5 Optimum RF noise impedance

If white noise dominates in the phase noise generating process, which is usually not the case [2], [9], [21], then the source impedance for the amplifying part in a oscillator should be optimised at the oscillation frequency [8] just as in the case of an low noise amplifier. That is, in a situation when the spectral density of phase fluctuations SΦ(fr) is white or proportional to 1/fr² and it isn't a modulated burst noise plateau.

Also, keep in mind that altering the source impedance can (will) alter the unloaded to loaded quality factor ratio QL/Q0, as in section 4.1.2 "Optimal coupling".

4.6 Optimum bias point

Improvements in the order of 15 dB have been reported by simply aiming at a oscillator circuit design with minimum frequency sensitivity to a small bias change (minimum "pushing" sensitivity) [7], [21], [35], [36].

It has been stated that a phase noise minimum can be found for a specific bias collector current level in HBT oscillators [32], [37]. [32] finds the same to be true for HEMT's. In [38] a minima is also found for a specific drain voltage applied to a GaAs MESFET. An improvement of the order of 15 dB is observed. In [29] it is found that the phase noise is less at a high bias collector current level.

4.7 Optimum bias impedances

Since feedback modified low frequency noise usually dominates the phase noise in an oscillator one should aim to find the optimum source and load impedance for the amplifying part at low frequencies in analogy with an normal low noise amplifier [39], [40], [29], [41], [42]. The effect applies for both field effect transistors and bipolar transistors. The source impedance for an field effect transistor is found to be optimum when high (hundreds of kΩ's). Improvements in phase noise level of approximately 10 dB have been observed.

4.8 Low frequency feedback

An appropriate low frequency feedback between the transistors drain/collector and gate/base can reduce the phase noise [39], [40] even though feedback has no effect on the noise performance in the linear case [5]. The results are modest, probably due to a sometimes low correlation between the phase noise and the low frequency current noise at the transistor drain side [43], [44], [45].

4.9 Separate amplitude limiter

Phase noise is partly generated trough a mixing process in the amplitude limiting non-linearity between the oscillation frequency and the low frequency noise, see section 3.2.2. The amplitude limiting non-linearity and the amplifying parts are usually integrated into a single transistor which operates compressed, and the dominating low frequency noise source is usually situated in that compressed transistor. Therefore, the low frequency noise has direct access to the amplitude non-linearity, and of course then mixes with the oscillation frequency. An idea for to reduce this effect is to separate the amplifying part from the amplitude limiting part by using some automatic gain control (= AGC) or clipping diodes (see figure 29) [8], [40], [46]. Improvements in the order of 15 dB have been observed.

fig
Figure 29 Oscillator with amplitude limiting clipping diodes.

When tested [46], clipping diodes were used. It seams that the clipping diodes were then directly connected to the amplifying transistor. It would probably be advantageous to have a low frequency blocking in between, for to prevent the low frequency noise from the transistor to reach the non-linearity in the clipping diodes where it can mix with the oscillation frequency and create phase noise. No references on such an improved idea have been found.

4.10 Choosing frequency determining device

The simplest technique for to electronically control an oscillator is by controlling some bias voltage that influences for example a pn-junction capacitance. This is sometimes referred to as "bias pushing". The technique exhibits low cost feature since no extra tuning device is needed, but suffers from poor phase noise performance, see section 4.5. The tuning range is expected to be small since it is difficult to fulfil the oscillation criterias when the bias point is changed.

A somewhat improved solution when it comes to phase noise is to use a separate varactor diode for frequency tuning. The quality factor of a varactor diode is poor compared to most used resonators, and will degrade the resonator accordingly. The material in the diode, doping profile etceteras influences the usefulness of the diode. A small low-frequency noise level is of high concern.

The use of a "linear varactor", see figure 30, is reported to give a 10–15 dB improvement over the use of conventional varactors [47].

fig
Figure 30 Linear varactor.

The use of two anti series coupled varactors, see figure 31, is reported to give a 5–10 dB improvement over the use of conventional varactors [48] due to an more linear capacitance, and thereby less mixing of low frequency noise with the oscillation frequency. A better temperature stability is also observed.

fig
Figure 31 Anti-series connected varactors.

YIG equipped oscillators are used where high performance is of greater concern than cost, for example in measurement instruments, see section 4.1.1 "Resonators".

Narrow-band piezo electric tuning of a cavity is mentioned in [9], [49] and [50]. The technique is reported not to degrade the quality factor of the resonator, which of course gives excellent phase noise performance. The tuning range is poor, unless some mechanical gearing for improved displacement is used.

No references on the use of magnetostrictive materials such as terfenol instead of piezo electric materials for narrow band mechanical tuning of a cavity have been found. Magnetostrictive materials have a much greater expansion coefficient than piezo-electric materials, but are more expensive.

There are some publications on magnetostrictive film on surface acoustic wave (=SAW) delay lines [51], which can be used as delay lines in surface acoustic wave oscillators.

4.11 Multiplication

The technique to utilise some lower frequency source and multiply it to a desired frequency level is quite commonly used. The advantage is the possibility to utilise the splendid low cost high quality factor resonators available at lower frequencies, most often quartz crystals, and the possible use of silicon bipolar transistors with its less low-frequency noise. The draw back is a multiplication of the phase noise as well.

The frequency multiplier, see figure 32 gives a straightforward frequency multiplication.

fig
Figure 32 Frequency multiplied electrically controlled oscillator.

At the output we have

    
sin[nωt + nΦ(t)] (102)

with the spectral density of phase fluctuations (2)

    
SΦmultiplied(fr)=  1 {F[nΦ(t)]}²=n²SΦunmultiplied(fr)
pix
2
(103)

and consequently the single sideband noise to carrier ratio in dBc/Hz becomes (5), (103)

    
Lmultiplied(fr)=10 Log  p SΦmultiplied(fr) p =10 Log p SΦunmultiplied(fr) p =
pix pix
2  2 

=10 Log(n²)+10 Log p SΦunmultiplied(fr) p =20 Log(n)+Lunmultiplied(fr) 
pix
2 
(104)

Mixing with a low phase noise fixed frequency oscillator, see figure 33, is another way to multiply. It's also possible to divide the frequency in this way.

fig
Figure 33 Up- (or down-) converted electronically controlled oscillator.

A phase locked loop, see figure 34 is a third way. A high frequency voltage controlled oscillator (Kc) is frequency divided, phase compared (Kd) with a high quality lower frequency voltage controlled oscillator and the error signal is then fed into the control port of the high frequency voltage controlled oscillator. Kd is in unit V/rad and Kc in unit Hz/V. An interesting feature of the phase locked loop is the possibility to control the output frequency by controlling the division number in the frequency divider.

fig
Figure 34 Phase locked loop frequency multiplied electronically controlled oscillator.

The phase noise levels in the phase locked loop in figure 34 can be analysed by simply redrawing it with phases instead of voltages, see figure 35. The "s" in the denominator for the transfer function of the voltage controlled oscillator is for phase, not frequency at the output, and the 2π in the numerator is for getting rad/s instead of Hz.

fig
Figure 35 Phase locked loop frequency multiplied electronically controlled oscillator.

At the output we have (neglecting additional phase noise from the frequency divider and phase detector)

    
Φ0n+  2πKc  F(s)Kd p Φi  Φ0 p
pix pix
s  n 
(105)

which solved for output phase equals

    

Φ0= 
n+2πKcF(s)KdΦi
pix
s+  2πKcF(s)Kd
pix
n
(106)

For example, suppose we implement the filter F(s) for proportional integrating (= PI) control characteristics, then

    
F(s)=  1+τ2s
pix
τ1s
(107)

inserting it into (106) we get

    
Φ0= 
n+2πKc  1+τ2s  KdΦi
pix
τ1s
 =
pix
s+2πKc  1+τ2s  Kd 
pix
1s

  1  Φn+(τ2s+1)nΦi
pix
2πKcKd
 =
pix
  1  2s+1
pix
2πKcKd
(108)
    
p

s
p ² Φn+  p 2 τ2
pix
sqrt pix
2πKcKd
pix
1
  s  +1 p i
pix pix pix
pix
sqrt pix
2πKcKd
pix
1
2
pix
sqrt pix
2πKcKd
pix
1
pix
p

s
p ² +2 τ2
pix
sqrt pix
2πKcKd
pix
1
  s  +1
pix pix pix
pix
sqrt pix
2πKcKd
pix
1
2
pix
sqrt pix
2πKcKd
pix
1
(109)
    
=
p s  p ² Φn+  p s  +1 p i
pix pix
ωn ωn
pix
p s  p ² +2ζ s  +1
pix pix
ωn ωn
(110)

where

    
i
i
i
i
i
ωn= sqrt pix
2πKcKd
pix
1
ζ =  τ2 sqrt pix
2πKcKd
pix pix
2 1
(111)

The single sideband noise to carrier ratio becomes (2), (5), (110)

    
Lmultiplied(fr)=10 Log  SΦ(fr)  =10 Log  0  =20 Log  0|   =
pix pix pix
2  4  2 

=20 Log  p p
pix pix 1 pix pix pix
p s  p ² Φn+  p 2ζ  s   +1 p i
pix pix
ωn ωn
pix
pix pix pix pix
pix pix
2
pix
p s  p ² +2ζ  s   +1
pix pix
ωn ωn
p p
(112)

First consider (112) inside the loop bandwidth ωn, that is s/ωn<<1, then we get using (2) and (5)

    
Lmultiplied(fr)=20 Log  n|Φi|  =20 Logn +10 Log  i  =
pix pix
2  4 

=20 Log(n) +10 Log  SΦunmultiplied(fr)  = 20Log(n)+Lunmultiplied(fr)
pix
2 
(113)

The same result as for a normal multiplier (104). The output phase noise equals the multiplied phase noise of the lower frequency oscillator. Finally consider (112) outside the loop bandwidth ωn, that is s/ωn>>1 which gives using (2) and (5)

    
Lmultiplied(fr)=20 Log  n|  =10 Log  n  =10 Log  SΦn(fr)  = Ln(fr) 
pix pix pix
2  4  2 
(114)

Which is the same phase noise as the higher frequency voltage controlled oscillator.

Of course, combinations of the above, for example as in figure 36 are possible.

fig
Figure 36 Complex oscillator structure.

Noise from the phase detector in a phase locked loop can be reduced with a different phase locked loop [52], see figure 37. An exclusive-or gate is used, to increase the phase detector sensitivity, together with a phase detector for to overcome the narrow pull in range of the exclusive-or gate.

fig
Figure 37 Alternatively phase locked loop frequency multiplied electronically controlled oscillator.

4.12 Frequency discriminator stabilised oscillators

A simple frequency discriminator consists of a delay line and a phase detector, see figure 38. It basically transforms frequency into voltage, the inverse of a voltage controlled oscillator.

fig
Figure 38 Frequency discriminator.

The operation is as follows. Fine tune the time delay into

    
τ =  2πn   =  n 
pix pix
ω0 f0
(115)

where n is an integer. At the input ports of the phase detector we then have

    
cos(ωt) (116)

and

    
cos[ω(t−τ)] = cos(ωt−ωτ) = cos(ωt−2πfτ) = cos[ωt−2π(fr+f0)τ] =
= cos(ωt−2πfrτ−2πf0τ) = cos(ωt−2πfrτ−2πn) = cos(ωt−2πfrτ)
(117)

After phase comparing we have at the output

    
v2 = 2πfrτKd (118)

which is a baseband voltage proportional to the frequency deviation fr. Another possible implementation is depicted in figure 39.

fig
Figure 39 Frequency discriminator.

In this case we have at the phase detector output port, using (62)

    
v2=Kdarctan  p QL  p ω  −  ω0 p p  =Kdarctan  p QL  p f  −  f0 p p  ≈
pix pix pix pix
ω0 ω f0 f

≈{fr<<f0}≈KdQL  p fr+f0  −  f0 p  =
pix pix
f0 fr+f0

=KdQL 
(fr+f0)²−f 2
0
 =KdQL 
f 2 +2frf0 
r
 =
pix pix
f0(fr+f0)  f0(fr+f0) 

=KdQL  fr(2f0+fr)  ≈{fr<<f0}≈KdQL  2fr
pix pix
f0(fr+f0)  f0
(119)

where the first approximation is a expansion into a Taylor series. This is also a baseband voltage proportional to the frequency deviation fr. Comparing the proportionality constants of (118) and (119) one finds that it's simply equation (67), the delay line quality factor relationship.

A basic frequency discriminator stabilised voltage controlled oscillator is depicted in figure 40. The voltage controlled oscillator's frequency output is transformed into a error voltage by the frequency discriminator. The error voltage is then fed back to the control port, as in an usual control loop.

fig
Figure 40 Frequency discriminator stabilised oscillator.

The same configuration can be redrawn with phases instead, see figure 41.

fig
Figure 41 Frequency discriminator stabilised oscillator.

We have at the output

    
Φ0n−  2πKc  GF(s)Kd2πτ  s  Φ0
pix pix
s 
Φ0=  Φn
pix
1+2πKcGF(s)Kdτ
(120)

With sufficient time delay τ, gain G and stability considerations the phase noise can be decreased. The spectral density of phase fluctuations becomes

    
SΦ(fr)=  SΦ0
pix
[1+2πKcGF(s)Kdτ]²
(121)

where SΦ0 is the unstabilised spectral density of phase fluctuations. Notation with quality factor instead of time delay using equation (67) and assuming 2πτKdF(s)GKc>>1 gives

    
SΦ(fr)=  p f0 p ² SΦ0
pix pix
2QLE [GF(s)KdKc
(122)

where QLE is the loaded quality factor of the outer resonator (the resonator in the frequency discriminator). The equation has similarities to Leeson's equation (65). Inserting (65) one gets

    
SΦ(fr)=  p f0 p ² 1 p f0 p ² S'Φ(fr) 
pix pix pix pix
2QLE [GF(s)KdKc 2QLI
f 2
r
(123)

where QLI is the loaded quality factor of the internal resonator (the resonator in the voltage controlled oscillator). As the loop gain increases other noise sources than those in the voltage controlled oscillator will start dominating [10], [19], [53]. A problem with this type of frequency discriminator stabilised voltage controlled oscillators is to tune the two resonators to exactly the same resonant frequency so that phase errors do not contributes to the phase noise [12]. One solution to this problem is depicted in figure 42, [16], [23], [54], [55]. In this configuration, a common resonator, labelled "Q" is used in both the oscillator loop and in the frequency discriminator loop. The electronically controlled phase shifter labelled "Φ" tunes the frequency of oscillation.

fig
Figure 42 Single resonator frequency discriminator oscillator.

Another solution to the problem is depicted in figure 43, [56], [57], where the scattering parameters in the smith chart refer to the resonator labelled "Q", and the arrows indicate increasing frequency.

figfig
Figure 43 Single resonator frequency discriminator oscillator.

The operation is as follows: The couplers provides signals proportional to the scattering parameters S11 and S21 of the resonator. They are in phase at resonance but quickly changes as the frequency changes from resonance as can be seen in figure 43. The phase difference between the two deflected signals is thereby by first order approximation proportional to the difference between the operating frequency and the resonance frequency. The phase difference is detected by a phase detector, amplified, filtered and fed back to an electronically controlled phase shifter that control the operating frequency. A control loop that keeps the operating frequency equal to the resonant frequency has thereby been established. The control loop also compensates for slow variations in the operating frequency caused by low frequency noise, and thereby lowers the phase noise.

A third implementation is depicted in figure 44, [58], see Appendix C. Here, some of the incident wave onto the resonator and some of the transmitted wave passing through the resonator are deflected by couplers and phase compared. The resulting signal representing a phase error in the oscillation loop is then negatively fed back into the oscillation loop. A 90° phase shift transmission line is needed to compensate for the additional phase shift of the transmitted wave passing through the resonator and both couplers. Phase noise improvement of 10 dB have been demonstrated, see Appendix C. The phase noise improvement is expected to be limited by the low frequency noise level in the discriminator feedback loop.

fig
Figure 44 Single resonator frequency discriminator oscillator.

The two ideas described in figure 43 and figure 44 can be extended into a set of topologies as presented here in this table for the first time:

 
Transmission mode oscillatorReflection mode oscillator
tabtabfig
tabfigtab
tabtabtab

4.13 Balanced oscillator

Two active devices in a balanced configuration can reduce oscillator phase noise [8], [40], [59], [60]. The balanced operation is supposed to prevent direct mixing of the low frequency noise with the carrier in the same way as a balanced mixer prevents unwanted mixing products. Another possible explanation to the effect is that a decreased bias current level in the device decreases the low frequency noise. The decreased bias current level is accomplished by operating the amplifying part in a non-class-A operation, such as class-B or class-C. Practical noise reduction have been about 10 dB. The technique of balanced operation is also used for the frequency controlling device, see figure 31.

4.14 Transposed gain

The transposed gain amplifier [61], see figure 45, first down-converts the carrier frequency, amplifies at the down converted frequency and finally up-convert to the original carrier frequency. This enables the use of a relatively low frequency silicon bipolar transistor amplifier with little low frequency noise to be used instead of the traditional high frequency field effect transistor amplifier with more low frequency noise. The oscillator in the transposed gain amplifier does not need to be a high quality oscillator.

fig
Figure 45 Transposed gain amplifier.

4.15 Laser

High spectral purity microwave signals can be produced by mixing two laser sources with different wavelengths [62].

4.16 Optimisation

The possibility to decrease the phase noise by the calculation of the optimum values for a set of variables for a given circuit topology is of course a highly wanted feature to the circuit designer. It is equally obvious, if such a procedure is to be successful, that one needs accurate models and a method for the optimisation. Methods are known [63], [64], [65].

4.16.1 Device modelling

A model that can predict phase noise should contain the low-frequency noise. Since the device is operating in a non-linear mode, it is not possible to simply extract the internal noise sources to two outer noise sources and a correlation impedance as is the case with linear circuits (e.g. amplifiers) [5], [66]. The non-linear operation can (and will) alter the bias point, and thereby alter the noise source levels [43]. It is often possible to get calculated and measured data to coincide, but when optimising with simple models one will most probably get non-physical results such as zero phase noise. A reason for this is that the oscillator pushing factor can be zero at some bias points [66], [43]. The optimiser will of course present that erroneous lowest number. Also, authors have found low correlation between the low frequency drain noise and the oscillator phase noise [43], [44], [45].

The most simple way to model the effect of low frequency noise is by inserting one noise generator at the gate (or base) of a noiseless non-linear model, see figure 46. [67], [68], [39], [40].

fig
Figure 46 Non-linear model with low-frequency noise.

A somewhat improved model is a noise voltage source at the gate and a noise current source at the drain, see figure 47. [69], [70]

fig
Figure 47 Non-linear model with low-frequency noise.

A model for correlating phase noise and low frequency noise has been presented [45], see figure 48.

fig
Figure 48 Linear model with low-frequency noise effects.

In [66] and [71] a model with two noise sources distributed along the channel is proposed, see figure 49.

fig
Figure 49 non-linear model with low-frequency noise.


5 Discussion

Some of the reported methods are costly, complex or difficult to design.

For a simple low phase noise design it's often sufficient with a moderate quality factor resonator, such as a cavity resonator or a dielectric resonator. It is highly important that the frequency of oscillation is equal to the resonators resonant frequency, so that the oscillator operates at the resonators steepest phase-to-frequency-derivative. The choice of device, preferably a silicon bipolar transistor and consideration of its related bias point and bias impedances should be done carefully as well.

The multiplication of a low frequency source using a phase locked loop or cascaded frequency multipliers are the most usual methods for slightly higher performance.

Other methods are not so common, but sometimes find their use in extraordinary cases.

6 Acknowledgements

I express my thanks to professor Iltcho Angelov, professor Erik Kollberg and professor Herbert Zirath for their valuable comments on this work.

This work was supported by Chalmers Centre for High Speed Technology.


7 Appendix A

inserting (87) and (88) in (89) one gets

    
e(t)=Re  i
i
i
i
i
i
i
  icon icon  A(t)ej[ω0t+Φ(t)] i
i
i
i
i
i
i
pix
R(ω0)+jX(ω0)+
 +  p ∂R(ω) pix pix ω0 +j  ∂X(ω) pix pix ω0 p p ∂Φ(t)  −j  1 pix ∂A(t) p
pix pix pix pix pix
∂ω ∂ω ∂t A(t) ∂t
+Ra(A0)+jXa(A0)+
p ∂Ra(A) pix pix A0 +j  ∂Xa(A) pix pix A0 p [A(t)−A0]
pix pix
∂A ∂A
  pix
ICON ICON
(124)

and using (83) it simplifies to

    
e(t)=Re  i
i
i
i
i
i
i
  icon icon  A(t)ej[ω0t+Φ(t)] i
i
i
i
i
i
i
pix
p ∂R(ω) pix ω0 +j ∂X(ω) pix ω0 p p ∂Φ(t) −j 1 ∂A(t) p +
pix pix pix pix pix
∂ω ∂ω ∂t A(t) ∂t
  pix
pix
+ p ∂Ra(A) pix A0 +j ∂Xa(A) pix A0 p [A(t)−A0]
pix pix
∂A ∂A
  pix
icon icon
(125)

which can be rearranged into

    
e(t)=Re  i
i
i
i
i
i
i
  icon icon
A(t)e j[ω0t+Φ(t)]
 
i
i
i
i
i
i
i
pix
∂R(ω) pix pix ω0 ∂Φ(t)  −j  ∂R(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix pix pix
∂ω ∂t ∂ω A(t) ∂t
  pix
+j ∂X(ω) pix pix ω0 ∂Φ(t)  +  ∂X(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix pix pix
∂ω ∂t ∂ω A(t) ∂t
 +  ∂Ra(A) pix pix A0 [A(t)−A0]+j  ∂Xa(A) pix pix A0 [A(t)−A0]
pix pix
∂A ∂A
icon icon
(126)

and further into

    
e(t)=Re  i
i
i
i
i
i
i
i
i
i
i
  icon icon  A(t){cos[ω0t+Φ(t)]+jsin[ω0t+Φ(t)]} i
i
i
i
i
i
i
i
i
i
i
pix
  icon icon  +
pix
∂R(ω) pix pix ω0 ∂Φ(t)  +
pix pix
∂ω ∂t
  pix
 +  ∂X(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix
∂ω A(t) ∂t
∂Ra(A) pix pix A0 [A(t)−A0]
pix
∂A
icon icon
  pix
+j  icon icon
pix
∂X(ω) pix pix ω0 ∂Φ(t)  +
pix pix
∂ω ∂t
  pix
−  ∂R(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix
∂ω A(t) ∂t
∂Xa(A) pix pix A0 [A(t)−A0]
pix
∂A
icon icon
icon icon
(127)

and finally into

    
e(t)=A(t)  i i
pix
  i i  cos[ω0t+Φ(t)]+
pix
∂R(ω) pix pix ω0 ∂Φ(t)  +
pix pix
∂ω ∂t
  pix
 +  ∂X(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix
∂ω A(t) ∂t
∂Ra(A) pix pix A0 [A(t)−A0]
pix
∂A
i i
  pix
pix
i i  sin[ω0t+Φ(t)]
pix
∂R(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix
∂ω A(t) ∂t
  pix
−  ∂X(ω) pix pix ω0 ∂Φ(t)  +
pix pix
∂ω ∂t
 −  ∂Xa(A) pix pix A0 [A(t)−A0]
pix
∂A
i i
i i
(128)

where the amplitude A(t) and phase Φ(t) are slowly time dependent. Now, let

    
ec(t)= 
ω0
pix
π

t
t − 
pix
ω0
e(τ)cos[ω0τ+Φ(t)]dτ 
(129)

and insert (128) keeping in mind that the amplitude A(t) and phase Φ(t) only varies slowly one get

    
ec(t)= 
A(t)ω0
pix
π

t
t − 
pix
ω0
  i i  dτ
pix
i i  cos²[ω0t+Φ(t)]+
pix
∂R(ω) pix pix ω0 ∂Φ(t)  +
pix pix
∂ω ∂t
  pix
 +  ∂X(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix
∂ω A(t) ∂t
∂Ra(A) pix pix A0 [A(t)−A0]
pix
∂A
i i
  pix
pix
 +  i i  cos[ω0t+Φ(t)]sin[ω0t+Φ(t)]
pix
∂R(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix
∂ω A(t) ∂t
  pix
−  ∂X(ω) pix pix ω0 ∂Φ(t)  +
pix pix
∂ω ∂t
 −  ∂Xa(A) pix pix A0 [A(t)−A0]
pix
∂A
i i
i i
(130)

utilising the substitution

    
p  x = ω0τ+Φ(t) τ = t ⇒ x = ω0t+Φ(t) p
dx = ω0
τ = t−    ⇒ x = ω0t+Φ(t)−2π
pix
ω0
(131)

gives

    
ec(t)= 
A(t)
pix
π
ω0t+Φ(t)
ω0t+Φ(t)−2π
  i i  dx
pix
  i i  cos²x+
pix
∂R(ω) pix pix ω0 ∂Φ(t)  +
pix pix
∂ω ∂t
  pix
 +  ∂X(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix
∂ω A(t) ∂t
∂Ra(A) pix pix A0 [A(t)−A0]
pix
∂A
i i
  pix
pix
 +  i i  cosx sinx
pix
∂R(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix
∂ω A(t) ∂t
  pix
−  ∂X(ω) pix pix ω0 ∂Φ(t)  +
pix pix
∂ω ∂t
−  ∂Xa(A) pix pix A0 [A(t)−A0]
pix
∂A
i i
i i
(132)

which equals

    
= A(t)
pix
π
i i  ω0t+Φ(t)
pix
  p
∂R(ω) pix pix ω0 ∂Φ(t)  +  ∂X(ω) pix pix ω0 1 pix ∂A(t)  +
pix pix pix pix pix
∂ω ∂t ∂ω A(t) ∂t
p
p x + sin(2x) p +
pix pix
2 4
∂Ra(A) pix pix A0 [A(t)−A0]
pix
∂A
  pix
+ p
∂R(ω) pix pix ω0 1 pix ∂A(t)  −  ∂X(ω) pix pix ω0 ∂Φ(t)  +
pix pix pix pix pix
∂ω A(t) ∂t ∂ω ∂t
p
sin²x
pix
2
−  ∂Xa(A) pix pix A0 [A(t)−A0]
pix
∂A
 ω0t+Φ(t)−2π
i i
(133)

and finally results in

    
ec(t)=A(t) p ∂R(ω) pix ω0 ∂Φ(t) + ∂X(ω) pix ω0 1 ∂A(t) + ∂Ra(A) pix A0 [A(t)−A0] p
pix pix pix pix pix pix
∂ω ∂t ∂ω A(t) ∂t ∂A 
(134)

similarly letting

    
es(t)= 
ω0
pix
π 

t
t − 
pix
ω0
e(τ)sin[ω0τ+Φ(t)]dτ 
(135)

results in

    
es(t)=A(t) p ∂R(ω) pix ω0 1 ∂A(t) ∂X(ω) pix ω0 ∂Φ(t) ∂Xa(A) pix A0 [A(t)−A0] p
pix pix pix pix pix pix
∂ω A(t) ∂t ∂ω ∂t ∂A 
(136)

setting (134) 1 ∂X(ω) pix ω0 +(136) 1 ∂R(ω) pix ω0 and (134) 1 ∂R(ω) pix ω0 −(136) 1 ∂X(ω) pix ω0 one gets
pix pix pix pix pix pix pix pix
A(t) ∂ω A(t) ∂ω A(t) ∂ω A(t) ∂ω

    
i
i
i
i
i
i
i
i
i
i
i
i i
pix
pix pix pix ∂Z(ω) pix pix ω0 pix pix pix 2 1 pix ∂A(t)  +
pix pix pix
∂ω A(t) ∂t
  pix
+ p ∂X(ω) pix ω0 ∂Ra(A) pix A0 ∂R(ω) pix ω0 ∂Xa(A) pix A0 p [A(t)−A0]=
pix pix pix pix
∂ω ∂A ∂ω ∂A
∂X(ω) pix pix ω0 ec(t)  +  ∂R(ω) pix pix ω0 es(t)
pix pix pix pix
∂ω A(t) ∂ω A(t)
i i
i i
pix
pix pix pix ∂Z(ω) pix pix ω0 pix pix pix 2 ∂Φ(t)  +
pix pix
∂ω ∂t
  pix
+ p ∂R(ω) pix ω0 ∂Ra(A) pix A0 + ∂X(ω) pix ω0 ∂Xa(A) pix A0 p [A(t)−A0]=
pix pix pix pix
∂ω ∂A ∂ω ∂A
∂R(ω) pix pix ω0 ec(t)  −  ∂X(ω) pix pix ω0 es(t)
pix pix pix pix
∂ω A(t) ∂ω A(t)
i i
(137)

multiplying by the amplitude A(t), introducing the amplitude distortion δA(t)=A(t)−A0, realising that the time derivative of the amplitude A(t) is equal to the time derivative of the amplitude distortion δA(t) and neglecting the small terms δA²(t) and

δA(t) ∂Φ(t) one find
pix
∂t
    
i
i
i
i
i
i
i
i
i
p
pix ∂Z(ω) pix ω0 pix 2 δA(t)+A0  p ∂X(ω) pix ω0 ∂Ra(A) pix A0 ∂R(ω) pix ω0 ∂Xa(A) pix A0 p δA(t)=
pix pix pix pix pix pix
∂ω ∂t ∂ω ∂A ∂ω ∂A
p
= ∂X(ω) pix ω0 ec(t)+  ∂R(ω) pix ω0 es(t) 
pix pix
∂ω ∂ω
p
pix ∂Z(ω) pix ω0 pix 2 A0 ∂Φ(t) +A0 p ∂R(ω) pix ω0 ∂Ra(A) pix A0 + ∂X(ω) pix ω0 ∂Xa(A) pix A0 p δA(t)=
pix pix pix pix pix pix
∂ω ∂t ∂ω ∂A ∂ω ∂A
p
= ∂R(ω) pix ω0 ec(t)−  ∂X(ω) pix ω0 es(t) 
pix pix
∂ω ∂ω
(138)

The nearest homogenous equivalent to the first differential equation is

    
δA(t)= −A0 
∂X(ω) pix pix ω0 ∂Ra(A) pix pix A0  −  ∂R(ω) pix pix ω0 ∂Xa(A) pix pix A0
pix pix pix pix
∂ω ∂A ∂ω ∂A
 δA(t)
pix
pix pix
∂t pix
pix pix ∂Z(ω) pix pix ω0 pix pix pix 2
pix
∂ω 
(139)

which can be solved trough separation

    
1 ∂δA(t)= −A0 
∂X(ω) pix pix ω0 ∂Ra(A) pix pix A0  −  ∂R(ω) pix pix ω0 ∂Xa(A) pix pix A0
pix pix pix pix
∂ω ∂A ∂ω ∂A
∂t
pix
pix pix
δA(t) pix
pix pix ∂Z(ω) pix pix ω0 pix pix pix 2
pix
∂ω 
(140)

giving

    
ln[δA(t)]=C1−A0 
∂X(ω) pix pix ω0 ∂Ra(A) pix pix A0  −  ∂R(ω) pix pix ω0 ∂Xa(A) pix pix A0
pix pix pix pix
∂ω ∂A ∂ω ∂A
 t
pix
pix
pix
pix pix ∂Z(ω) pix pix ω0 pix pix pix 2
pix
∂ω 
(141)

and finally

    
δA(t)=C2exp  p
∂X(ω) pix pix ω0 ∂Ra(A) pix pix A0  −  ∂R(ω) pix pix ω0 ∂Xa(A) pix pix A0
pix pix pix pix
∂ω ∂A ∂ω ∂A
 t p
pix
pix
pix
pix pix ∂Z(ω) pix pix ω0 pix pix pix 2
pix
∂ω 
(142)

which will only converge if

    
∂X(ω) pix pix ω0 ∂Ra(A) pix pix A0  −  ∂R(ω) pix pix ω0 ∂Xa(A) pix pix A0 >0
pix pix pix pix
∂ω ∂A ∂ω ∂A
(143)

8 Appendix B

Taking the Fourier transform on equation (138) one gets

    
eq(144)

rearranging the first equation and inserting it into the second gives

    
eq(145)

    
eq(146)

    
eq(147)

    
eq(148)

    
eq(149)

    
eq(150)

    
eq(151)

Taking the square of the absolute value, and dividing by 2 one gets the spectral density of phase fluctuations

    
eq(152)

Now, since ec(t) (129) and es(t) (135) represent the cosine and sine components of the distortion voltage e(t) in figure 27 we have [27]

    
eq(153)

Using (153) in (152) one gets

    
eq(154)

A similar deduction can be found in [27]. Now, inserting (91) and (92) into (154) one gets

    
eq(155)

which equals

    
eq(156)

Going back to the resonator in figure 15, the impedance from (53) is

   
Z(ω) =  U  = R+jωL+ 1
pix pix
I jωC
(157)

with the derivative at resonance being

    
eq(158)

Utilising (55) it becomes

    
eq(159)

The parallel case gives exactly the same expression. Inserting (159) into (156) one gets

    
eq(160)

which equals

    
eq(161)

9 Appendix C: A Frequency discriminator stabilised transmission mode oscillator with common resonator

9.1 Introduction

If a resonator in an oscillator operates slightly off resonance the phase noise performance will very quickly be degenerated [12]. The situation appears if the resonator's resonant frequency isn't identical with the frequency of oscillation. The discrepancy is sometimes referred to as a phase error and can arise from manufacturing tolerances.

Also, the always present low frequency noise modulates voltage dependent reactances and thereby alters the frequency of oscillation [11], [2].

The use of a frequency discriminator is a well known technique for reducing these phase errors, and thereby improving the phase noise performance of oscillators. Some established frequency discriminator topologies suffers from the difficulty of synchronising two resonators (or a delay line and a resonator), while more recent topologies exhibit structures with a common resonator were the synchronisation problem has been eliminated.

A former topology for a frequency discriminator stabilised transmission mode oscillator with common resonator includes a circulator [54], [23], [55], [16], see figure 42. Another former topology for a frequency discriminator stabilised oscillator with common resonator is based on the reflection mode oscillator [56], [57], see figure 43.

This work presents a frequency discriminator stabilised transmission mode oscillator with common resonator that doesn't include any circulator.

9.2 Topology and principle of operation

The topology for the frequency discriminator stabilised transmission mode oscillator with common resonator is depicted in figure 50. The oscillator part is depicted at the top of the figure. It includes an electronically controlled phase shifter Φ for frequency tuning, a power generating amplifier and a resonator Q.

fig
Figure 50 Frequency discriminator stabilised transmission mode oscillator with common resonator. The part surrounded by the broken line square is initially simulated separately.

On both sides of the resonator there are 90° directional couplers that couples some of the incident and transmitted wave through the resonator to a phase detector. A 90° phase shift transmission line is included for compensating the longer path of the transmitted wave, passing trough the resonator and both 90° couplers. The two waves incident onto the phase detector are therefore in phase at the resonator's resonant frequency f0, since the phase shift through the resonator is zero at resonance. For frequencies slightly off resonance there will be a phase difference between the two waves proportional to the product of the frequency deviation from resonance and the loaded quality factor of the resonator, see equation (64). The phase difference is monitored by a phase detector and fed back to the frequency tuning phase shifter in the oscillator loop. The signal from the phase detector is amplified and filtered, possibly with PI (= proportional and integrating) characteristics. In this way the frequency fluctuations are decreased and the phase noise lowered.

9.3 Initial simulation results

The frequency discriminator part, including the resonator, surrounded by the broken line square in figure 50, was simulated using HP-EEsof MDS microwave engineering software. Simulation input data for this general case is presented in figure 51. The simulation results in figure 52 shows the frequency discriminator output voltage and the phase shift of the resonator versus the frequency. figure 53 shows scattering parameters for the resonator.

fig
Figure 51 Circuit diagram used as simulation input data.

fig
Figure 52 Phase shift and output voltage for the frequency discriminator part, including the resonator.

fig
Figure 53 Scattering parameters for the frequency discriminator part, including the resonator. Center frequency f0 is 1 GHz and the bandwidth is 3*f0/QL = 60 MHz.

9.4 Design

Using this topology, a circuit was designed in microstrip technology on a 15 mil RT Duroid 5870 substrate, see figure 54.

fig
Figure 54 Circuit for a 4,6 GHz oscillator.

For the microwave amplifier, to the left in figure 54, a NEC 76084 GaAs MESFET transistor was used. The phase shifter, at the top of figure 54, consisted of a 3 dB branch line coupler and two MA46H071-1088 GaAs hyperabrupt varactors.

The phase detector, at the lower right hand corner of the layout part in figure 54, consisted of a 3 dB branch line coupler and two amplitude detectors. The detectors consisted of biased MA4E2054A-287 silicon schottky diodes. The detectors were connected to the 3 dB branch line couplers port number 2 and 3 with port numbering as depicted in figure 55.

fig
Figure 55 Branch line coupler port numbering.

With waves incident at port 1 and 4 forming an incident wave vector

    
p Ae p
0
0
Be
(162)

and the 3 dB branch line coupler's scattering matrix being [15]

    
1
pix
pix
sqrt pix
2
p 0  1  j  0 p
1  0  0  j
j  0  0  1
0  j  1  0
(163)

the reflected wave vector becomes

    
1
pix
pix
sqrt pix
2
p 0 p
Ae+jBe
jAe+Be
0
(164)

After the detectors and the differential base band amplifier we have

    
pix pix Ae+jBe pix pix pix ² −  pix pix jAe+Be pix pix pix ² =
pix pix
pix pix
pix pix
pix
sqrt pix
2
pix
sqrt pix
2
1   p
pix Acosα+jAsinα+jBcosβ−Bsinβ pix ² +
p  =
pix
2
pix jAcosα−Asinα+Bcosβ+jBsinβ pix ²
=
1
pix
2
p (Acosα−Bsinβ)²+(Asinα+Bcosβ)²+ p =
−(Bcosβ−Asinα)²−(Acosα+Bsinβ)²
(165)
    
1   p A²cos²α+B²sin²β−2ABcosαsinβ+ p  =
+A²sin²α+B²cos²β+2ABsinαcosβ+
pix pix
2 −B²cos²β−A²sin²α+2ABsinαcosβ+
−A²cos²α−B²sin²β−2ABcosαsinβ
1   p A²+B²−2ABcosαsinβ+2ABsinαcosβ+ p  =
pix
2 −B²−A²+2ABsinαcosβ−2ABcosαsinβ
2AB(sinαcosβ−cosαsinβ)=2ABsin(α−β)
(166)

Which is indeed a phase detector output signal.

The resonator's loss, at the centre of figure 54, causes the power level at the output port to be lower (~ −6 dB) than the power level at the input port. To get approximately the same power level at the two ports entering the phase detector, the coupler at the resonator's input port has less (~ −6 dB) coupling compared to the coupler at the output port. Due to manufacturing tolerances at the etching process it was decided to implement the output port coupler as a branch line coupler, and the input port coupler as a coupled lines coupler to achieve the ~ 6 dB difference in coupling.

The control loop utilising PI control characteristics had low noise operational amplifiers OP37 and OP27. The OP37 was used as a differential amplifier and the OP27 was used as a PI-amplifier with adjustable gain.

9.5 Measured results

The circuit and some identical separate subparts of it were etched and assembled. Measurements of the microwave amplifier part is presented in figure 56. It is well matched and provides 10 dB gain over a reasonable bandwidth.

fig
Figure 56 Measured microwave amplifier performance.

The frequency discriminator part, including the resonator was also manufactured as a separate block. Measurement results showing its transmission phase slope and detector output voltage is presented in figure 57. Some unimportant unbalance resulting in a small non-zero frequency discriminator output voltage at the steepest phase to frequency derivative can be observed. The measurement results shown in figure 57 are quite similar to the simulation results in figure 52.

fig
Figure 57 Resonator—frequency discriminator measurements.

The frequency discriminator signal is then amplified with PI control characteristics and fed back into the oscillation loop via the phase shifter. The phase shifter was manufactured and measured separately too. The measurement results are presented in figure 58.

fig
Figure 58 Phase shifter measurement.

The resonator in the complete oscillator circuit needed some tuning for the oscillation to start. The resonant frequency was slightly lowered to about 4,6 GHz from originally intended 5 GHz. The reason for this was insufficient modelling of the microstrip resonator and of the microwave transistor. After the tuning, the oscillator circuit performance was measured. The phase noise was measured using the discriminator method with and without closing the phase noise reduction control loop. figure 59 shows the phase noise with the control loop broken, and figure 60 shows the phase noise with the control loop activated. A 10 dB improvement is observed.

fig
Figure 59 Phase noise with control loop broken.

fig
Figure 60 Phase noise with control loop closed.

The resulting phase noise level is remarkable low. It is measured to be approximately −52 dBc/Hz at 1 kHz off carrier. Multiplying the oscillator output into a 15 GHz oscillator using equation (104) and calculating the phase noise at 100 kHz off carrier assuming a 30 dB slope per decade equals

    
−52+20Log  15  −2·30=−101,8 dBc/Hz
pix
4,63
(167)

A carefully designed MESFET microstrip oscillator at 15 GHz is reported to have a phase noise level of approximately −100 dBc/Hz at 100 kHz off carrier [65], an exceptionally low value for this type of oscillator.


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