lec8 noise figure impact of nonlinearity

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  • 8/11/2019 Lec8 Noise Figure Impact of Nonlinearity

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    6.976

    High Speed Communication Circuits and Systems

    Lecture 8

    Noise Figure, Impact of Amplifier Nonlinearities

    Michael Perrott

    Massachusetts Institute of Technology

    Copyright 2003 by Michael H. Perrott

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    M.H. Perrott MIT OCW

    Noise Factor and Noise Figure (From Lec 7)

    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 Zoutand ZL)

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    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 Zoutand ZL)

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    Input Referred Noise Model

    iout

    RsenRs

    vin

    Linear,Time Invariant

    Circuit(Noiseless)Zin

    vxZL

    inoutZout

    Equivalent outputreferred current noise

    (assumed to be independentof Zoutand ZL)

    iout

    Linear,Time Invariant

    Circuit

    (Noiseless)Zin

    vxinYsisiin

    en

    inYsis

    Can remove the signal source

    since Noise Factor can be

    expressed as the ratio of total

    output noise to input noise

    iin,sc=iout

    en

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    Input-Referred Noise Figure Expression

    We know that

    Lets express the above in terms of input short circuit

    current

    en

    inYsis iin,sc=

    iout

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    In general, en and in will be correlated

    - Yc is called the correlation admittance

    Calculation of Noise Factor

    By inspection of above figure

    en

    inYsis iin,sc=

    iout

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    Noise Factor Expressed in Terms of Admittances

    We can replace voltage and current noise currentswith impedances and admittances

    iuYc

    en

    Ysis iin,sc=

    iout

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

    Plug these values into expression above to obtain

    Optimal Source Admittance for Minimum Noise Factor

    Express admittances as the sum of conductance, G,

    and susceptance, B

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    Optimal Source Admittance for Minimum Noise Factor

    After much algebra (see Appendix L of Gonzalez bookfor derivation), we can derive

    - Contours of constant noise factor are circles centeredabout (Gopt,Bopt) in the admittance plane

    - They are also circles on a Smith Chart (see pp 299-302of Gonzalez for derivation and examples)

    How does (Gopt,Bopt) compare to admittance achieving

    maximum power transfer?

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    Optimizing For Noise Figure versus Power Transfer

    One cannot generally achieve minimum noise figure ifmaximum power transfer is desired

    Gs

    Bs

    Gopt

    Bopt

    Example sourceadmittance for maximum

    power transfer Circles of constantNoise Factor

    (Fmin at the center)

    iout

    Linear,Time Invariant

    Circuit(Noiseless)ZinvxinGsisiin

    en

    Bs

    Signal

    Source noise produced

    by source conductance

    Source

    susceptance

    Source

    conductance

    Bmax

    Gmax

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    Optimal Noise Factor for MOS Transistor Amp

    Consider the common source MOS amp (no

    degeneration) considered in Lecture 7

    - In Tom Lees book (pp. 272-276), the noise impedancesare derived as

    - The optimal source admittance values to minimize noisefactor are therefore

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    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 setto resonate with Cgs at frequency of operation

    Minimum noise figure

    - Exact if one defines wt = gm/Cgs

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    M.H. Perrott MIT OCW

    Recall Noise Factor Comparison Plot From Lecture 7

    1 2 3 4 5 6 7 8 9 100

    1

    2

    3

    4

    5

    6

    7

    8

    Q

    Noise

    FactorScalin

    gCoefficient

    Noise Factor Scaling Coefficient Versus Q for 0.18NMOS Device

    c = -j0

    c = -j0.55

    c = -j1

    c = -j1

    c = -j0.55

    c = -j0

    Minimum acrossall values of Q and

    Achievable values as

    a function of Q underthe constraint that

    LgCgs

    1= wo

    LgCgs

    1

    Note: curvesmeet if we

    approximate

    Q2+1 Q2

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    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

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    M.H. Perrott MIT OCW

    Comparison of Noise Figure and Power Match

    To achieve minimum Noise Factor

    To achieve maximum power transfer

    vin

    Rs

    RL

    Source

    vout

    enRs

    enRL

    Rs

    RL

    Source

    vnout

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    M.H. Perrott MIT OCW

    Example: Noise Factor Calculation for Capacitor Load

    Total output noise

    Total output noise due to source

    Noise Factor

    vin

    Rs

    CL

    Source

    vout

    enRsRs

    Source

    vnoutCL

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    M.H. Perrott MIT OCW

    Example: Noise Factor with Zero Source Resistance

    Total output noise

    Total output noise due to source

    Noise Factor

    vin

    RL

    CL

    Source

    vout

    enRLRL

    vnoutCL

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    M.H. Perrott MIT OCW

    Vs

    RS

    RLVx

    1:N

    Source

    Rin= N2

    1R

    L Rout=N

    2

    Rs

    Vout=NVx

    enRs

    enRL

    RL

    RS

    Vx

    1:N

    Source

    Rin=N

    2

    1RL Rout=N

    2Rs

    Vnout=NVx

    Example: Resistive Load with Source Transformer

    For maximum power transfer (as derived in Lecture 3)

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    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=RL Vnout= Vx

    RLRs

    RLRs

    Noise Factor

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    M.H. Perrott MIT OCW

    Observations

    If you need to power match to a resistive load, youmust 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 thepower match constraint, thereby reducing effect of

    noise of following amplifiers

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

    enRs

    enRL

    RL

    RS

    Vx

    1:N=

    Source

    Rin= Rs Rout=RL Vnout= Vx

    RLRs

    RLRs

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    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 ANDintermodulation products

    M1

    RLVout

    CLIdVin

    Vdd MemorylessNonlinearity

    1+sRLCL

    Vin

    LowpassFilter

    VoutId -RL

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    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 toits third order term (assumes small signal variation)

    - For harmonic distortion, consider

    - For intermodulation, consider

    MemorylessNonlinearity

    x y

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    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

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    M.H. Perrott MIT OCW

    Frequency Domain View of Harmonic Distortion

    Harmonics cause noise- Their impact depends highly on application

    LNA typically not of consequence

    Power amp can degrade spectral mask Audio amp depends on your listening preference!

    Gain for fundamental component depends on input

    amplitude!

    MemorylessNonlinearity

    x yw

    A

    0 w

    c1A +

    0 2w 3w

    3c3A3

    4Afund =

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    M.H. Perrott MIT OCW

    MemorylessNonlinearity

    x yw

    A

    0 w

    c1A +

    0 2w 3w

    3c3A3

    4Afund =

    1 dB Compression Point

    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 Taylorseries to be accurate in this context

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    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 havent yet considered cross terms!

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    Intermodulation Products

    Second-order intermodulation (IM2) products

    Third-order intermodulation (IM3) products

    - These are the troublesome ones for narrowbandsystems

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    M.H. Perrott MIT OCW

    Corruption of Narrowband Signals by Interferers

    Wireless receivers must select a desired signal that is

    accompanied by interferers that are often much larger

    - LNA nonlinearity causes the creation of harmonic andintermodulation products

    - Must remove interference and its products to retrievedesired signal

    MemorylessNonlinearity

    x y

    w10 w2 W

    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

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    M.H. Perrott MIT OCW

    Use Filtering to Remove Undesired Interference

    Ineffective for IM3 term that falls in the desired signalfrequency band

    MemorylessNonlinearity

    x y

    w10 w2 W

    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

    Bandpass

    Filter

    z

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    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 becalculated once we know A and the ratio of c3 to c1- Problem: its often hard to extract the polynomial

    coefficients through direct DC measurements

    Need an indirect way to measure the ratio of c3 to c1

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    Two Tone Test

    Input the sum of two equal amplitude sine waves intothe 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 output

    third-order IM term

    Amplifier

    vin

    Rs

    Zin=Rs

    Vout

    Vbias

    2AVx

    Vout=co+c1Vx+c2Vx+c3Vx2 3

    Note:

    vx(w) =

    vin(w)

    2

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    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 thefirst and third order terms

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

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

    A1-dB

    1 dB

    20log(A)

    20log(Afund)

    Aiip3

    Third-order

    IM term

    First-order

    output c3A33

    4=

    = c1A

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    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-order

    IM term

    First-order

    output c3A33

    4=

    = c1A

    f S

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    M.H. Perrott MIT OCW

    IIP3 Expressed in Terms of Power at Source

    IIP3 referenced toVx (peak voltage)

    IIP3 referenced to Vx(rms voltage)

    w10 w2W

    vin(w)Equal Amplitude

    Sine WavesAmplifier

    vin

    Rs

    Zin=Rs

    Vout

    Vbias

    2A

    Vx

    Vout=co+c1Vx+c2Vx+c3Vx2 3

    Note:vx(w) =

    vin(w)

    2

    Power across Zin = Rs Note: Power from vin

    IIP3 B h k S ifi ti

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    IIP3 as a Benchmark Specification

    Since IIP3 is a convenient parameter to describe the levelof third order nonlinearity in an amplifier, it is often

    quoted as a benchmark spec

    Measurement of IIP3 on a discrete amplifier would bedone using the two-tone method described earlier

    - This is rarely done on integrated amplifiers due to pooraccess to the key nodes

    - Instead, for a radio receiver for instance, one would simplyput in interferers and see how the receiver does

    Note: 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 not necessary simply curve fit to athird order polynomial

    - Note: two-tone can be done in CppSim

    I t f Diff ti l A lifi N li it

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    M.H. Perrott MIT OCW

    Impact of Differential Amplifiers on Nonlinearity

    Assume vx is approximately incremental ground

    M1 M2

    2Ibias

    vid

    I1 I2

    2

    -vid

    2

    vx

    MemorylessNonlinearity

    vid Idiff = I2-I1

    Second order term removed and IIP3 increased!