Phase Noise and Jitter Simulation
Integration Limits
Y. Zhao and B. Razavi, "Phase Noise Integration Limits for Jitter Calculation,"[https://www.seas.ucla.edu/brweb/papers/Conferences/YZ_ISCAS_22.pdf]
TODO ๐
VCO Phase Noise
pnoise - timeaverage
Direct Plot/Pnoise/Phase Noise or
manually calculate by definition
output noise
with unitdBc
Direct Plot/Pnoise/Output Noise Units:dBc/Hz and Noise convention: SSB
The above method 2 and 3 only apply to
timeaveage
pnoise simulation,
pnoise - sampled(jitter)/Edge Crossing
Direct Plot/Pnoise/Edge Phase Noise or
Another way, the following equation can also be used for
sampled(jitter)/Edge Crossing
1 | PhaseNoise(dBc/Hz) = dB20( OutputNoise(V/sqrt(Hz)) / slopeCrossing / Tper*twoPi ) - dB10(2) |
where dB10(2)
is used to obtain SSB from DSB
Output Noise of sampled(jitter) pnoise
The last section's Output Noise (V**2/Hz)
can be
obtained by transient noise simulation
The idea is that sample waveform with ideal clock, subtract DC offset, then fft(psd)
- samplesRaw = sample(wv)
- samplePost = samplesRaw - average(samplesRaw)
- Output Noise (V**2/Hz) = psd(samplePost)
Expression:
The computation cost is typically very high, and the accuracy is lesser as compared to PSS/Pnoise
Pnoise Sampled(jitter): Sampled Phase Option
- Identical to noisetype=timedomain in old GUI
- Use model:
- Sampleds Per Period: number of ponits
- Add Specific Points: specific time point, still time points
pss beat freq = 5GHz
pnoise sweeptype: absolute, from 100k to 2.5GHz
Transient noise
phase noise from transient noise analysis
- The Phase Noise function is now available in the Direct Plot form
(Results-Direct Plot-Main Form) after Transient Analysis is run
- Absolute jitter Method
- Direct Power Spectral Density Method
PN
phase noise function- Absolute jitter Method
- Direct Power Spectral Density Method
Absolute jitter Method: Phase noise is defined as the power spectral density of the absolute jitter of an input waveform
and absolute jitter method is the default method
In below discussion, we only think about the
absolute jitter method
PSD and Phase Noise
- phase noise is single-sideband
- psd is double-sideband
- Then the ratio is 2
By PSS_Pnoise
jee
1 | rfEdgePhaseNoise(?result "pnoise_sample_pm0" ?eventList 'nil) + 10 * log10(2) |
convert single-sideband phase noise to psd by multiplying 2 or
10 * log10(2)
By trannoise PN
function
1 | PN(clip(VT("/Out1") 2.60417e-08 0.000400052) "rising" 1.65 ?Tnom (1 / 3.84e+07) ?windowName "Rectangular" ?smooth 1 ?windowSize 15000 ?detrending "None" ?cohGain 1 ?methodType "absJitter") |
double-sideband psd
By trannoise
psd
and abs_jitter
function
1 | dB10(psd(abs_jitter(clip(VT("/Out1") 2.60417e-08 0.000400052) "rising" 1.65 ?Tnom (1 / 3.84e+07)) 2.60417e-08 0.000400052 15360 ?windowName "Rectangular" ?smooth 1 ?windowSize 15000 ?detrending "None" ?cohGain 1)) |
double-sideband psd
abs_jitter
Y-Unit default israd
Comparison
PN
's result is same withpsd
's
RMS value
- build the
abs_jitter
function with seconds as the Y axis and add thestddev
function to determine the Jee jitter value - or integrate psd
The RMS \(x_{\text{RMS}}\) of a discrete domain signal \(x(n)\) is given by \[ x_{\text{RMS}}=\sqrt{\frac{1}{N}\sum_{n=0}^{N-1}|x(n)|^2} \] Inserting Parseval's theorem given by \[ \sum_{n=0}^{N-1}|x(n)|^2=\frac{1}{N}\sum_{n=0}^{N-1}|X(k)|^2 \] allows for computing the RMS from the spectrum \(X(k)\) as \[ x_{\text{RMS}}=\sqrt{\frac{1}{N^2}\sum_{n=0}^{N-1}|X(k)|^2} \]
Remarks
Cadence Spectre's PN
function may call
abs_jitter
and psd
function under the
hood.
reference
Article (11514536) Title: How to obtain a phase noise plot from a transient noise analysis URL: https://support.cadence.com/apex/ArticleAttachmentPortal?id=a1Od0000000nb1CEAQ
Article (20500632) Title: How to simulate Random and Deterministic Jitters URL: https://support.cadence.com/apex/ArticleAttachmentPortal?id=a1O3w000009fiXeEAI
Tutorial on Scaling of the Discrete Fourier Transform and the Implied Physical Units of the Spectra of Time-Discrete Signals Jens Ahrens, Carl Andersson, Patrik Hรถstmad, Wolfgang Kropp URL: https://appliedacousticschalmers.github.io/scaling-of-the-dft/AES2020_eBrief/