6.776 high speed communication circuits lecture 11 noise ... · -a transformer does not alleviate...

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6.776 High Speed Communication Circuits Lecture 11 Noise Figure, Impact of Amplifier Nonlinearities Michael Perrott Massachusetts Institute of Technology March 10, 2005 Copyright © 2005 by Michael H. Perrott

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6.776High Speed Communication Circuits

Lecture 11Noise Figure, Impact of Amplifier Nonlinearities

Michael PerrottMassachusetts Institute of Technology

March 10, 2005

Copyright © 2005 by Michael H. Perrott

H.-S. Lee & M.H. Perrott MIT OCW

Noise Factor and Noise Figure (From Lec 10)

Definitions

Calculation of SNRin and SNRout

iout

RsenRs

vin

Linear,Time Invariant Circuit

(Noiseless)Zin

vxZL

inoutZout

Equivalent outputreferred current noise

(assumed to be independentof Zout and ZL)

H.-S. Lee & M.H. Perrott MIT OCW

Alternative Noise Factor Expression

From previous slide

Calculation of Noise Factor

iout

RsenRs

vin

Linear,Time Invariant Circuit

(Noiseless)Zin

vxZL

inoutZout

Equivalent outputreferred current noise

(assumed to be independentof Zout and ZL)

H.-S. Lee & M.H. Perrott MIT OCW

Thevenin Computation Model For Noise (from Lec 10)

Iout

GD

Svgs gmvgsCgs indg

D

S

G

ZgsZg

Zdeg

iout

Zg Zdeg

H.-S. Lee & M.H. Perrott MIT OCW

Thevenin Computation Model For Noise (from Lec 10)

Iout

GD

Svgs gmvgsCgs indg

D

S

G

ZgsZg

Zdeg

iout

Zg Zdeg

We analyzed a non-degenerated CMOS amplifier in Lec 10- Broadband amplifiers: gate noise not significant- Narrowband amplifiers:

Assumed in analysis that we operated at resonanceQ turned out to be key design parameter

Can we simultaneously design amplifiers for optimal noise match and optimal power match?

H.-S. Lee & M.H. Perrott MIT OCW

Input Referred Noise Model

iout

RsenRs

vin

Linear,Time Invariant Circuit

(Noiseless)Zin

vxZL

inoutZout

Equivalent outputreferred current noise

(assumed to be independentof Zout and ZL)

iout

Linear,Time Invariant Circuit

(Noiseless)Zin

vxinYsisiin

en

inYsis

Can remove the signal sourcesince Noise Factor can be

expressed as the ratio of total output noise to input noise

iin,sc=ioutβ

en

H.-S. Lee & M.H. Perrott MIT OCW

Input-Referred Noise Figure Expression

We know that

Let’s express the above in terms of input short circuit current

en

inYsis iin,sc=ioutβ

H.-S. Lee & M.H. Perrott MIT OCW

Calculation of Noise Factor

en

inYsis iin,sc=ioutβ

By inspection of above figure

In general, en and in will be correlated

- Yc is called the correlation admittance

H.-S. Lee & M.H. Perrott MIT OCW

Noise Factor Expressed in Terms of Admittances

iuYc

en

Ysis iin,sc=ioutβ

We can replace voltage and current noise currents with impedances and admittances

H.-S. Lee & M.H. Perrott MIT OCW

Optimal Source Admittance for Minimum Noise Factor

Take the derivative with respect to source admittance and set to zero (to find minimum F), which yields

Plug these values into expression above to obtain

Express admittances as the sum of conductance, G, and susceptance, B

H.-S. Lee & M.H. Perrott MIT OCW

Optimal Source Admittance for Minimum Noise Factor

After much algebra (see Appendix L of Gonzalez* book for derivation), we can derive

- Contours of constant noise factor are circles centered about (Gopt,Bopt) in the admittance plane- They are also circles on a Smith Chart (see pp 299-302 of Gonzalez for derivation and examples)

How does (Gopt,Bopt) compare to admittance achieving maximum power transfer?

*Guillermo Gonzalez, Microwave Transistor Amplifiers: Analysis and Design, Prentice Hall, 1996

H.-S. Lee & M.H. Perrott MIT OCW

Optimizing For Noise Figure versus Power Transfer

Gs

Bs

Gopt

Bopt

Example sourceadmittance for maximum

power transfer Circles of constantNoise Factor

(Fmin at the center)

iout

Linear,Time Invariant Circuit

(Noiseless)Zin

vxinGsisiin

en

Bs

Signal

Source noise producedby source conductance

Sourcesusceptance

Sourceconductance

Bmax

Gmax

One cannot generally achieve minimum noise figure if maximum power transfer is desired

H.-S. Lee & M.H. Perrott MIT OCW

Optimal Noise Factor for MOS Transistor Amp

Consider the common source MOS amp (no degeneration) considered in Lecture 10- In Tom Lee’s book (pp. 272-276 (1st ed.), pp. 364-369 (2nd

ed.)), the noise impedances are derived as

- The optimal source admittance values to minimize noise factor are therefore

H.-S. Lee & M.H. Perrott MIT OCW

Optimal Noise Factor for MOS Transistor Amp (Cont.)

Optimal admittance consists of a resistor and inductor (wrong frequency behavior – broadband match fundamentally difficult)

- If there is zero correlation, inductor value should be set to resonate with Cgs at frequency of operation

Minimum noise figure

- Exact if one defines wt = gm/Cgs

H.-S. Lee & M.H. Perrott MIT OCW

Recall Noise Factor Comparison Plot From Lecture 10

1 2 3 4 5 6 7 8 9 100

1

2

3

4

5

6

7

8

Q

Noi

se F

acto

r Sca

ling

Coe

ffici

ent

Noise Factor Scaling Coefficient Versus Q for 0.18µ NMOS Device

c = -j0

c = -j0.55

c = -j1

c = -j1

c = -j0.55c = -j0

Minimum acrossall values of Q and

Achievable values asa function of Q under

the constraint that

LgCgs

1= wo

LgCgs

1

Note: curvesmeet if we

approximateQ2+1 Q2

H.-S. Lee & M.H. Perrott MIT OCW

Example: Noise Factor Calculation for Resistor Load

Total output noise

Total output noise due to source

Noise Factor

vin

Rs

RL

Source

vout

enRs

enRL

Rs

RL

Source

vnout

H.-S. Lee & M.H. Perrott MIT OCW

Comparison of Noise Figure and Power Match

vin

Rs

RL

Source

vout

enRs

enRL

Rs

RL

Source

vnout

To achieve minimum Noise Factor

To achieve maximum power transfer

H.-S. Lee & M.H. Perrott MIT OCW

Example: Noise Factor Calculation for Capacitor Load

vin

Rs

CL

Source

vout

enRsRs

Source

vnoutCL

Total output noise

Total output noise due to source

Noise Factor

H.-S. Lee & M.H. Perrott MIT OCW

Example: Noise Factor with Zero Source Resistance

vin

RL

CL

Source

vout

enRLRL

vnoutCL

Total output noise

Total output noise due to source

Noise Factor

H.-S. Lee & M.H. Perrott MIT OCW

Example: Noise Factor Calculation for RC Load

Total output noise

Total output noise due to source

Noise Factor

vin

Rs

CL

Source

vout

enRsRs

Source

vnoutCLRL

enRL

RL

H.-S. Lee & M.H. Perrott MIT OCW

Example: Resistive Load with Source Transformer

Vs

RS

RLVx

1:N

Source

Rin= N21 RL Rout=N2Rs

Vout=NVx

enRs

enRL

RL

RS

Vx

1:N

Source

Rin= N21 RL Rout=N2Rs

Vnout=NVx

For maximum power transfer (as derived in Lecture 3)

H.-S. Lee & M.H. Perrott MIT OCW

Noise Factor with Transformer Set for Max Power Transfer

Total output noise

Total output noise due to source

enRs

enRL

RL

RS

Vx

1:N=

Source

Rin= Rs Rout=RLVnout= Vx

RLRs

RLRs

Noise Factor

H.-S. Lee & M.H. Perrott MIT OCW

Observations

enRs

enRL

RL

RS

Vx

1:N=

Source

Rin= Rs Rout=RLVnout= Vx

RLRs

RLRs

If you need to power match to a resistive load, you must pay a 3 dB penalty in Noise Figure- A transformer does not alleviate this issue

What value does a transformer provide?- Almost-true answer: maximizes voltage gain given the

power match constraint, thereby reducing effect of noise of following amplifiers

- Accurate answer: we need to wait until we talk about cascaded noise factor calculations

H.-S. Lee & M.H. Perrott MIT OCW

Nonlinearities in Amplifiers

We can generally break up an amplifier into the cascade of a memoryless nonlinearity and an input and/or output transfer function

Impact of nonlinearities with sine wave input- Causes harmonic distortion (i.e., creation of harmonics)

Impact of nonlinearities with several sine wave inputs- Causes harmonic distortion for each input AND

intermodulation products

M1

RLVout

CL

IdVin

Vdd MemorylessNonlinearity

1+sRLCL

Vin

LowpassFilter

VoutId -RL

H.-S. Lee & M.H. Perrott MIT OCW

Analysis of Amplifier Nonlinearities

Focus on memoryless nonlinearity block- The impact of filtering can be added later

Model nonlinearity as a Taylor series expansion up to its third order term (assumes small signal variation)

- For harmonic distortion, consider

- For intermodulation, consider

MemorylessNonlinearity

x y

H.-S. Lee & M.H. Perrott MIT OCW

Harmonic Distortion

Substitute x(t) into polynomial expression

Fundamental Harmonics

Notice that each harmonic term, cos(nwt), has an amplitude that grows in proportion to An

- Very small for small A, very large for large A

H.-S. Lee & M.H. Perrott MIT OCW

Frequency Domain View of Harmonic Distortion

MemorylessNonlinearity

x yw

A

0 w

c1A +

0 2w 3w

3c3A3

4Afund =

Harmonics cause “noise”- Their impact depends highly on application

LNA – typically not of consequencePower amp – can degrade spectral maskAudio amp – depends on your listening preference!

Gain for fundamental component depends on input amplitude!

H.-S. Lee & M.H. Perrott MIT OCW

1 dB Compression Point

MemorylessNonlinearity

x yw

A

0 w

c1A +

0 2w 3w

3c3A3

4Afund =

Definition: input signal level such that the small-signal gain drops by 1 dB- Input signal level is high! A1-dB

1 dB

20log(A)

20log(Afund)

Typically calculated from simulation or measurement rather than analytically- Analytical model must include many more terms in Taylor

series to be accurate in this context

H.-S. Lee & M.H. Perrott MIT OCW

Harmonic Products with An Input of Two Sine Waves

DC and fundamental components

Second and third harmonic terms

Similar result as having an input with one sine wave- But, we haven’t yet considered cross terms!

H.-S. Lee & M.H. Perrott MIT OCW

Intermodulation Products

Second-order intermodulation (IM2) products

Third-order intermodulation (IM3) products

- These are the troublesome ones for narrowband systems

H.-S. Lee & M.H. Perrott MIT OCW

Corruption of Narrowband Signals by InterferersMemorylessNonlinearity

x y

w10 w2W

X(w) DesiredNarrowband

Signal

Interferers

0 w12w2+w1

w2 2w22w1-w2 2w1+w22w2-w1 w1+w2

w2-w1 2w1 3w23w1W

Y(w) Corruption of desired signal

Wireless receivers must select a desired signal that is accompanied by interferers that are often much larger- LNA nonlinearity causes the creation of harmonic and

intermodulation products- Must remove interference and its products to retrieve

desired signal

H.-S. Lee & M.H. Perrott MIT OCW

Use Filtering to Remove Undesired InterferenceMemorylessNonlinearity

x y

w10 w2W

X(w) DesiredNarrowband

Signal

Interferers

0 w12w2+w1

w2 2w22w1-w2 2w1+w22w2-w1 w1+w2

w2-w1 2w1 3w23w1W

Y(w) Corruption of desired signal

0 w12w2+w1

w2 2w22w1-w2 2w1+w22w2-w1 w1+w2

w2-w1 2w1 3w23w1W

Z(w) Corruption of desired signal

BandpassFilter

z

Ineffective for IM3 term that falls in the desired signal frequency band

H.-S. Lee & M.H. Perrott MIT OCW

Characterization of Intermodulation

Magnitude of third order products is set by c3 and input signal amplitude (for small A)

Magnitude of first order term is set by c1 and A (for small A)

Relative impact of intermodulation products can be calculated once we know A and the ratio of c3 to c1- Problem: it’s often hard to extract the polynomial

coefficients through direct DC measurementsNeed an indirect way to measure the ratio of c3 to c1

H.-S. Lee & M.H. Perrott MIT OCW

Two Tone Test

Input the sum of two equal amplitude sine waves into the amplifier (assume Zin of amplifier = Rs of source)

On a spectrum analyzer, measure first order and third order terms as A is varied (A must remain small)- First order term will increase linearly- Third order IM term will increase as the cube of A

w10 w2W

vin(w)Equal Amplitude

Sine Waves

0 w12w2+w1

w2 2w22w1-w2 2w1+w22w2-w1 w1+w2

w2-w1 2w1 3w23w1W

Vout(w)first-order outputthird-order IM term

Amplifier

vin

Rs

Zin=Rs

Vout

Vbias

2A Vx

Vout=co+c1Vx+c2Vx+c3Vx2 3

Note:vx(w) =

vin(w)2

H.-S. Lee & M.H. Perrott MIT OCW

Input-Referred Third Order Intercept Point (IIP3)

Plot the results of the two-tone test over a range of A (where A remains small) on a log scale (i.e., dB)- Extrapolate the results to find the intersection of the

first and third order terms

- IIP3 defined as the input power at which the extrapolated lines intersect (higher value is better)

Note that IIP3 is a small signal parameter based on extrapolation, in contrast to the 1-dB compression point

A1-dB

1 dB

20log(A)

20log(Afund)

Aiip3

Third-orderIM term

First-orderoutput c3A33

4== c1A

H.-S. Lee & M.H. Perrott MIT OCW

Relationship between IIP3, c1 and c3

Intersection point

Solve for A (gives Aiip3)

Note that A corresponds to the peak value of the two cosine waves coming into the amplifier input node (Vx)- Would like to instead like to express IIP3 in terms of power

A1-dB

1 dB

20log(A)

20log(Afund)

Aiip3

Third-orderIM term

First-orderoutput c3A33

4== c1A

H.-S. Lee & M.H. Perrott MIT OCW

IIP3 Expressed in Terms of Power at Source

IIP3 referenced to Vx (peak voltage)

IIP3 referenced to Vx(rms voltage)

w10 w2W

vin(w)Equal Amplitude

Sine WavesAmplifier

vin

Rs

Zin=Rs

Vout

Vbias

2AVx

Vout=co+c1Vx+c2Vx+c3Vx2 3

Note:vx(w) =

vin(w)2

Power across Zin = Rs Note: Power from vin

H.-S. Lee & M.H. Perrott MIT OCW

IIP3 as a Benchmark Specification

Since IIP3 is a convenient parameter to describe the level of third order nonlinearity in an amplifier, it is often quoted as a benchmark specMeasurement of IIP3 on a discrete amplifier would be done using the two-tone method described earlier- This is rarely done on integrated amplifiers due to poor

access to the key nodes- Instead, for a radio receiver for instance, one would simply

put in interferers and see how the receiver doesNote: performance in the presence of interferers is not just a function of the amplifier nonlinearity

Calculation of IIP3 is most easily done using a simulator such as Hspice or Spectre- Two-tone method is theoretically not necessary – simply

curve fit to a third order polynomial

H.-S. Lee & M.H. Perrott MIT OCW

Impact of Differential Amplifiers on Nonlinearity

M1 M2

2Ibias

vid

I1 I2

2-vid

2vx

MemorylessNonlinearity

vid Idiff = I2-I1

Assume vx is approximately incremental ground

Second order term removed and IIP3 increased!