6.776 High Speed Communication Circuits Lecture 10 Noise Modeling in Amplifiers

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6.776
High Speed Communication Circuits
Lecture 10
Noise Modeling in Amplifiers
Michael Perrott
Massachusetts Institute of Technology
March 8, 2005
Copyright © 2005 by Michael H. Perrott
Notation for Mean, Variance, and Correlation
ƒ
Consider random variables x and y with probability
density functions fx(x) and fy(y) and joint probability
function fxy(x,y)
- Expected value (mean) of x is
-
ƒ Note: we will often abuse notation and denote
as a random variable (i.e., noise) rather than its mean
The variance of x (assuming it has zero mean) is
- A useful statistic is
ƒ If the above is zero, x and y are said to be uncorrelated
H.-S. Lee & M.H. Perrott
MIT OCW
Relationship Between Variance and Spectral Density
Two-Sided Spectrum
One-Sided Spectrum
Sx(f)
Sx(f)
2A
A
ƒ
-f2 -f1 0
f1
f2
f
0
f1
f2
f
Two-sided spectrum
- Since spectrum is symmetric
ƒ
One-sided spectrum defined over positive frequencies
- Magnitude defined as twice that of its corresponding
two-sided spectrum
ƒ
In the next few lectures, we assume a one-sided
spectrum for all noise analysis
H.-S. Lee & M.H. Perrott
MIT OCW
The Impact of Filtering on Spectral Density
|H(f)|2
Sx(f)
Sy(f)
AB
B
A
0
f
f
0
0
f
y(t)
x(t)
H(f)
ƒ
For the random signal passing through a linear,
time-invariant system with transfer function H(f)
- We see that if x(t) is amplified by gain A, we have
H.-S. Lee & M.H. Perrott
MIT OCW
Noise in Resistors
ƒ
Can be described in terms of either voltage or current
R
R
in
en
ƒ
k is Boltzmann’s constant
ƒ
T is temperature (in Kelvins)
- Usually assume room temperature of 27 degrees Celsius
H.-S. Lee & M.H. Perrott
MIT OCW
Noise In Inductors and Capacitors
ƒ
Ideal capacitors and inductors have no noise!
C
ƒ
L
In practice, however, they will have parasitic resistance
- Induces noise
- Parameterized by adding resistances in parallel/series
with inductor/capacitor
ƒ Include parasitic resistor noise sources
H.-S. Lee & M.H. Perrott
MIT OCW
Noise in CMOS Transistors (Assumed in Saturation)
ID
D
G
Drain Noise (Thermal and 1/f)
S
ƒ
Transistor Noise Sources
Gate Noise (Induced and Routing Parasitic)
Modeling of noise in transistors must include several noise
sources
- Drain noise
ƒ Thermal and 1/f – influenced by transistor size and bias
- Gate noise
ƒ Induced from channel – influenced by transistor size and bias
ƒ Caused by routing resistance to gate (including resistance of
polysilicon gate)
ƒ Can be made negligible with proper layout such as fingering of
devices
H.-S. Lee & M.H. Perrott
MIT OCW
Drain Noise – Thermal (Assume Device in Saturation)
ind
G
VGS
VD>∆V
S
ƒ
D
Thermally agitated carriers in the
channel cause a randomly varying
current
-
γ is called excess noise factor
ƒ = 2/3 in long channel
ƒ = 2 to 3 (or higher!) in short
channel NMOS (less in PMOS)
gdo will be discussed shortly
H.-S. Lee & M.H. Perrott
2
ind
∆f
4kTγgdo
f
MIT OCW
Drain Noise – 1/f (Assume Device in Saturation)
ind
G
VGS
VD>∆V
S
ƒ
D
Traps at channel/oxide interface
randomly capture/release carriers
2
ind
∆f
-
drain
1/f noise
Parameterized by Kf and n
ƒ Provided by fab (note n ≈ 1)
4kTγgdo
ƒ Currently: Kf of PMOS << Kf of
NMOS due to buried channel
To minimize: want large area (high WL)
H.-S. Lee & M.H. Perrott
drain thermal noise
f
1/f noise
corner frequency
MIT OCW
Induced Gate Noise (Assume Device in Saturation)
ing
indg
G
VGS
VD>∆V
S
ƒ
Fluctuating channel potential
couples capacitively into the gate
terminal, causing a noise gate
current
D
2
ing
∆f
slope =
20 dB/decade
4kTδgdo
- δ is gate noise coefficient
ƒ Typically assumed to be 2γ
Correlated to drain noise!
H.-S. Lee & M.H. Perrott
f
5 ft
α
MIT OCW
Useful References on MOSFET Noise
ƒ
Thermal Noise
- B. Wang et. al., “MOSFET Thermal Noise Modeling for
Analog Integrated Circuits”, JSSC, July 1994
ƒ
Gate Noise
- Jung-Suk Goo, “High Frequency Noise in CMOS Low
-
Noise Amplifiers”, PhD Thesis, Stanford University,
August 2001
ƒ http://www-tcad.stanford.edu/tcad/pubs/theses/goo.pdf
Jung-Suk Goo et. al., “The Equivalence of van der Ziel and
BSIM4 Models in Modeling the Induced Gate Noise of
MOSFETS”, IEDM 2000, 35.2.1-35.2.4
Todd Sepke, “Investigation of Noise Sources in Scaled
CMOS Field-Effect Transistors”, MS Thesis, MIT, June 2002
H.-S. Lee & M.H. Perrott
MIT OCW
Drain-Source Conductance: gdo
ƒ
ƒ
gdo is defined as channel resistance with Vds=0
- Transistor in triode, so that
- Equals g
m
for long channel devices
Key parameters for 0.18µ NMOS devices
H.-S. Lee & M.H. Perrott
MIT OCW
Plot of gm and gdο versus Vgs for 0.18µ NMOS Device
4
Vgs
M1
1.8µ
W
=
L
0.18µ
3.5
Transconductance (milliAmps/Volts)
Id
Transconductances gm and gdo versus Gate Voltage Vgs
3
gd0=µnCoxW/L(Vgs-VT)
2.5
2
1.5
gm (simulated in Hspice)
1
0.5
0
0.4
ƒ
0.6
0.8
1
1.2
1.4
Gate Voltage Vgs (Volts)
1.6
1.8
2
For Vgs bias voltages around 1.2 V:
H.-S. Lee & M.H. Perrott
MIT OCW
Plot of gm and gdο versus Idens for 0.18µ NMOS Device
Transconductances g m and g do versus Current Density
4
Vgs
M1
1.8µ
W
=
L
0.18µ
3.5
Transconductance (milliAmps/Volts)
Id
3
2.5
gd0=µnCoxW/L(Vgs-VT)
2
1.5
gm (simulated in Hspice)
1
0.5
0
0
100
200
300
400
500
600
700
Current Density (microAmps/micron)
H.-S. Lee & M.H. Perrott
MIT OCW
Noise Sources in a CMOS Amplifier
RD
enD
RG
enG
Rgpar
engpar
Cgd
ing
ID
RG
RD
1
gg
vgs
Cgs
Cdb
gmvgs
-gmbvs
ro
ind
Vout
Csb
endeg
vs
Vin
RS
H.-S. Lee & M.H. Perrott
Rdeg
MIT OCW
Remove Model Components for Simplicity
RD
enD
RG
enG
Rgpar
engpar
Cgd
ing
ID
RG
RD
1
gg
vgs
Cgs
Cdb
gmvgs
-gmbvs
ro
ind
Vout
Csb
endeg
vs
Vin
RS
H.-S. Lee & M.H. Perrott
Rdeg
MIT OCW
Key Noise Sources for Noise Analysis
RD
enD
RG
enG
ing
ID
RG
vgs
Cgs
ind
gmvgs
RD
Vout
endeg
vs
Vin
ƒ
Rdeg
RS
Transistor gate noise
ƒ
Transistor drain noise
Thermal noise
H.-S. Lee & M.H. Perrott
1/f noise
MIT OCW
Apply Thevenin Techniques to Simplify Noise Analysis
iout
D
G
Zg
Zgs
ing
vgs
Cgs
gmvgs
ind
S
iout
Zdeg
D
G
Zg
Zgs
vgs
Cgs
gmvgs
indg
S
Zdeg
ƒ
Assumption: noise independent of load resistor on drain
H.-S. Lee & M.H. Perrott
MIT OCW
Calculation of Equivalent Output Noise for Each Case
iout
D
G
Zg
Zgs
ing
vgs
Cgs
gmvgs
ind
S
iout
Zdeg
D
G
Zg
Zgs
vgs
Cgs
gmvgs
indg
S
Zdeg
H.-S. Lee & M.H. Perrott
MIT OCW
Calculation of Zgs
iout
D
G
itest
Zg
Zgs vtest
vgs
Cgs
gmvgs
S
v1 Z
deg
ƒ
Write KCL equations
ƒ
After much algebra:
H.-S. Lee & M.H. Perrott
MIT OCW
Calculation of η
iout
D
G
Zg
Zgs
vgs
Cgs
gmvgs
itest
S
v1
Zdeg
ƒ
Determine Vgs to find iout in terms of itest
ƒ
After much algebra:
H.-S. Lee & M.H. Perrott
MIT OCW
Calculation of Output Current Noise Variance (Power)
iout
D
Iout
G
D
G
S
Zg
Zg
Zgs
vgs
Cgs
gmvgs
indg
Zdeg
S
Zdeg
ƒ
To find noise variance:
H.-S. Lee & M.H. Perrott
MIT OCW
Variance (i.e., Power) Calc. for Output Current Noise
ƒ
Noise variance calculation
ƒ
Define correlation coefficient c between ing and ind
H.-S. Lee & M.H. Perrott
MIT OCW
Parameterized Expression for Output Noise Variance
ƒ
Key equation from last slide
ƒ
Solve for noise ratio
ƒ
Define parameters Zgsw and χd
H.-S. Lee & M.H. Perrott
MIT OCW
Small Signal Model for Noise Calculations
iout
D
Iout
G
D
G
S
Zg
Zg
Zgs
vgs
Cgs
gmvgs
indg
Zdeg
S
Zdeg
H.-S. Lee & M.H. Perrott
MIT OCW
Example: Output Current Noise with Zs = Rs, Zdeg = 0
Source
iout
Rs
Vin
ens
Zgs
vgs
Cgs
gmvgs
ƒ
Step 1: Determine key noise parameters
ƒ
Step 2: calculate η and Zgsw
indg
- For 0.18µ CMOS, we will assume the following
H.-S. Lee & M.H. Perrott
MIT OCW
Calculation of Output Current Noise (continued)
ƒ
Step 3: Plug values into the previously derived expression
Drain Noise Multiplying Factor
- For w << 1/(R C
s
gs):
Gate noise contribution
H.-S. Lee & M.H. Perrott
MIT OCW
Calculation of Output Current Noise (continued)
ƒ
Step 3: Plug values into the previously derived expression
Drain Noise Multiplying Factor
- For w >> 1/(R C
s
gs):
Gate noise contribution
H.-S. Lee & M.H. Perrott
MIT OCW
Plot of Drain Noise Multiplying Factor (0.18µ NMOS)
Drain Noise Multiplying Factor Versus Frequency for 0.18 µ NMOS Device
1
f << 1/(2πRsCgs)
Drain Noise Gain Factor
0.95
0.9
0.85
0.8
f >> 1/(2πRsCgs)
0.75
1/100
1/10
1
10
100
Normalized Frequency --- f/(2πRsCgs) (Hz)
ƒ
Conclusion: gate noise has little effect on common
source amp when source impedance is purely resistive!
H.-S. Lee & M.H. Perrott
MIT OCW
Broadband Amplifier Design Considerations for Noise
2
indg
∆f
drain
1/f noise
drain thermal noise
4kTγgdo
gate noise contribution
with purely resistive
source impedance
f
1/f noise
corner frequency
ƒ
1
2πRsCgs
Drain thermal noise is the chief issue of concern
when designing amplifiers with > 1 GHz bandwidth
- 1/f noise corner is usually less than 1 MHz
- Gate noise contribution only has influence at high
frequencies
ƒ
Noise performance specification is usually given in
terms of input referred voltage noise
H.-S. Lee & M.H. Perrott
MIT OCW
Narrowband Amplifier Noise Requirements
2
indg
∆f
drain
1/f noise
4kTγgdo
drain thermal noise
gate noise contribution
with purely resistive
source impedance
f
1/f noise
corner frequency
ƒ
Narrowband
amplifier
frequency range
1
2πRsCgs
Here we focus on a narrowband of operation
- Don’t care about noise outside that band since it will be
filtered out
ƒ
Gate noise is a significant issue here
- Using reactive elements in the source dramatically
impacts the influence of gate noise
ƒ
Specification usually given in terms of Noise Figure
H.-S. Lee & M.H. Perrott
MIT OCW
The Impact of Gate Noise with Zs = Rs+sLg
Source
iout
Rs
ens
Vin
Lg
Zgs
vgs
Cgs
gmvgs
ƒ
Step 1: Determine key noise parameters
ƒ
Step 2: Note that η =1 , calculate Zgsw
indg
- For 0.18µ CMOS, again assume the following
H.-S. Lee & M.H. Perrott
MIT OCW
Evaluate Zgsw At Resonance
Source
iout
Rs
ens
Vin
Lg
Zgs
vgs
Cgs
gmvgs
indg
ƒ
Set Lg such that it resonates with Cgs at the center
frequency (wo) of the narrow band of interest
ƒ
Calculate Zgsw at frequency wo
H.-S. Lee & M.H. Perrott
MIT OCW
The Impact of Gate Noise with Zs = Rs+sLg (Cont.)
ƒ
Key noise expression derived earlier
ƒ
Substitute in for Zgsw
Gate noise contribution
ƒ
Gate noise contribution is a function of Q!
- Rises monotonically with Q
H.-S. Lee & M.H. Perrott
MIT OCW
At What Value of Q Does Gate Noise Exceed Drain Noise?
2
indg
∆f
4kTγgdo
Narrowband
amplifier
frequency range
drain thermal noise
gate noise contribution
Q2
f
wo/2π
ƒ
Determine crossover point for Q value
Critical Q value for crossover is primarily set by process
H.-S. Lee & M.H. Perrott
MIT OCW
Calculation of the Signal Spectrum at the Output
Source
iout
Rs
ens
Vin
Lg
Zgs
vgs
Cgs
gmvgs
indg
ƒ
First calculate relationship between vin and iout
ƒ
At resonance:
ƒ
Spectral density of signal at output at resonant frequency
H.-S. Lee & M.H. Perrott
MIT OCW
Impact of Q on SNR (Ignoring Rs Noise)
Narrowband
amplifier
frequency range
2
indg
∆f
4kTγgdo
signal spectrum
Q2
drain thermal noise
gate noise contribution
Q2
f
wo/2π
ƒ
SNR (assume constant spectra, ignore noise from Rs):
ƒ
For small Q such that gate noise < drain noise
ƒ
- SNR
out
improves dramatically as Q is increased
For large Q such that gate noise > drain noise
- SNR
out
improves very little as Q is increased
H.-S. Lee & M.H. Perrott
MIT OCW
Noise Factor and Noise Figure
Rs
Equivalent output
referred current noise
(assumed to be independent
of Zout and ZL)
enRs
vin
vx
Zin
Linear,Time Invariant
Circuit
(Noiseless)
ƒ
Definitions
ƒ
Calculation of SNRin and SNRout
H.-S. Lee & M.H. Perrott
iout
inout
Zout
ZL
MIT OCW
Calculate Noise Factor (Part 1)
Source
iout
Rs
ens
Lg
Zgs
Vin
ƒ
Cgs
gmvgs
indg
First calculate SNRout (must include Rs noise for this)
-R
s
noise calculation (same as for Vin)
- SNR
ƒ
vgs
out:
Then calculate SNRin:
H.-S. Lee & M.H. Perrott
MIT OCW
Calculate Noise Factor (Part 2)
ƒ
Noise Factor calculation:
ƒ
From previous analysis
H.-S. Lee & M.H. Perrott
MIT OCW
Calculate Noise Factor (Part 3)
ƒ
Modify denominator using expressions for Q and wt
ƒ
Resulting expression for noise factor:
Noise Factor scaling coefficient
- Noise factor primarily depends on Q, w /w , and process specs
o
H.-S. Lee & M.H. Perrott
t
MIT OCW
Minimum Noise Factor
Noise Factor scaling coefficient
ƒ
We see that the noise factor will be minimized for
some value of Q
- Could solve analytically by differentiating with respect
to Q and solving for peak value (i.e. where deriv. = 0)
ƒ
ƒ
In Tom Lee’s book (pp 272-277), the minimum noise
factor for the MOS common source amplifier (i.e. no
degeneration) is found to be:
How do these compare?
H.-S. Lee & M.H. Perrott
Noise Factor scaling coefficient
MIT OCW
Plot of Minimum Noise Factor and Noise Factor Vs. Q
Noise Factor Scaling Coefficient Versus Q for 0.18 µ NMOS Device
8
Noise Factor Scaling Coefficient
7
6
c = -j0
c = -j0.55
5
Achievable values as
a function of Q under
the constraint that
1
= wo
LgCgs
c = -j1
c = -j0
4
c = -j0.55
3
1
0
Minimum across
all values of Q and
1
Note: curves
meet if we
approximate
Q2+1 Q2
2
1
2
H.-S. Lee & M.H. Perrott
3
c = -j1
LgCgs
4
5
6
Q
7
8
9
10
MIT OCW
Achieving Minimum Noise Factor
ƒ
For common source amplifier without degeneration
- Minimum noise factor can only be achieved at
-
ƒ
resonance if gate noise is uncorrelated to drain noise
(i.e., if c = 0) – we’ll see this next lecture
We typically must operate slightly away from resonance
in practice to achieve minimum noise factor since c will
be nonzero
How do we determine the optimum source impedance
to minimize noise figure in classical analysis?
- Next lecture!
H.-S. Lee & M.H. Perrott
MIT OCW
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