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2014 | OriginalPaper | Chapter

7. Modelling and Estimating Phase Noise with Matlab

Authors : Francesco Brandonisio, Michael Peter Kennedy

Published in: Noise-Shaping All-Digital Phase-Locked Loops

Publisher: Springer International Publishing

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Abstract

The goal of this chapter is to illustrate how to model and estimate the phase noise of a sampled signal using Matlab. We first illustrate how the phase noise of a signal is related to the phase deviations of the signal. We then show how to model the phase noise of a noisy signal using Matlab.

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Footnotes
1
The effects of \(\varDelta \varPhi (t)\) in an oscillator are more significant than those of \(\varDelta A(t)\) because an oscillator is an autonomous system that tends to correct any amplitude deviation \(\varDelta A(t)\) but accumulates the phase deviation \(\varDelta \varPhi (t)\) [4].
 
Literature
2.
go back to reference Agilent “Agilent E5505A Phase Noise Measurement System, User’s Guide”, Agilent Technologies Inc., 2004–2012. Agilent “Agilent E5505A Phase Noise Measurement System, User’s Guide”, Agilent Technologies Inc., 2004–2012.
3.
go back to reference Maxim “Clock (CLK) Jitter and Phase Noise Conversion”, Application Note 3359, Dec. 2004. Maxim “Clock (CLK) Jitter and Phase Noise Conversion”, Application Note 3359, Dec. 2004.
5.
go back to reference Matworks, “Periodogram, PSD using periodogram”, Matlab 2010 User’s Guide. Matworks, “Periodogram, PSD using periodogram”, Matlab 2010 User’s Guide.
Metadata
Title
Modelling and Estimating Phase Noise with Matlab
Authors
Francesco Brandonisio
Michael Peter Kennedy
Copyright Year
2014
DOI
https://doi.org/10.1007/978-3-319-03659-5_7