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On the predictability of phase noise modeled as flicker FM plus white FM
KTH, School of Electrical Engineering (EES), Signal Processing.
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0001-6630-243X
2010 (English)In: 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), IEEE , 2010, 1791-1795 p.Conference paper (Refereed)
Abstract [en]

We investigate the predictability of RF oscillator phase noise (PHN) when a higher order model than the Wiener process is considered. The increment of the PHN process, i.e., the frequency fluctuation, is modeled as the superposition of a stationary 1/fα process and white noise and predicted by a linear minimum-mean-squared error (LMMSE) predictor. This deviates from the classical Wiener model, which considers white noise increments only. The normalized mean-squared error (NMSE) in one-step-ahead (OSA) prediction of the PHN process is then evaluated from the results obtained and is compared for different signal-to-noise ratio (SNR) values and different PHN characteristics. In many situations the new PHN model shows a good prediction gain compared to the Wiener model, even for low order predictors.

Place, publisher, year, edition, pages
IEEE , 2010. 1791-1795 p.
, Conference Record of the Asilomar Conference on Signals Systems and Computers, ISSN 1058-6393
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-46318DOI: 10.1109/ACSSC.2010.5757850ISI: 000305886000332ScopusID: 2-s2.0-79957978325ISBN: 978-1-4244-9722-5OAI: diva2:453624
44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010. Pacific Grove, CA. 7 November 2010 - 10 November 2010

QC 20111115

Available from: 2011-11-03 Created: 2011-11-03 Last updated: 2013-06-10Bibliographically approved

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