Noise Analysis and Modeling · Microsoft PowerPoint - IC_Slide5.ppt [Compatibility Mode] Author: dr...
Transcript of Noise Analysis and Modeling · Microsoft PowerPoint - IC_Slide5.ppt [Compatibility Mode] Author: dr...
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1
Noise Analysis and Modeling
Throughout this chapter we will assume all noise signals have a mean value of zero.We also assume that random signals are Ergodic.
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2
Time-Domain Analysis
The normalized noise power is given by
SNR is defined as follows:
RMS (root mean square) Value is defined:
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3
Noise Summation
Definition of correlation coefficient:
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Noise Summation
In the case of two fully correlated signals, the mean-squered value of their sum is
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Frequency-Domain Analysis
Noise Spectral Density: (PSD)
It is proven that:
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White Noise
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1/f or Flicker Noise
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Filtered Noise
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Example
Assume a white noise at the input of the filter as shown bellow. What is the PSD of the output noise? What is the rms of the output noise?
kHzK
f 1159.012
10
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continued
VV
fff
ff
V
rmsno
rmsno
8.0
1028.62
1000104000
arctan10400
1
10400 1318
00
18
02
0
182
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Noise Models for Circuit Elements(MOSFETS)
FVK 22510
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Noise Calculation of C.S Amplifier
Neglecting the flicker noise, we have:
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Noise Calculation of C.G Amplifier
Neglecting the flicker noise and considering the body effect, we have:
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Noise Calculation of Cascode Amplifier
It is proven that we can neglect the noise of M2. So we have:
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Example
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Noise Calculation of Fully Differential Amplifier
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ExampleCalculate the input referred noise.
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Telescopic Opamp
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Folded-Cascode Opamp
Neglecting the flicker noise, we have:
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Two-Stage Opamp
Neglecting the flicker noise, we have: