IF Estimation of FM Signals in Multiplicative Noise

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IF Estimation of FM Signals in Multiplicative Noise

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dc.contributor.author Barkat, B
dc.contributor.author Boashash, B
dc.date.accessioned 2012-03-06T18:05:04Z
dc.date.available 2012-03-06T18:05:04Z
dc.date.issued 2003
dc.identifier.citation Time-Frequency Signal Analysis & Processing: A Comprehensive Reference, Elsevier Science, Oxford, 2003, Chapter 10, Article 10.5, pages 457-464 en_US
dc.identifier.isbn 0080443354
dc.identifier.isbn 9780080443355
dc.identifier.uri http://hdl.handle.net/10576/10796
dc.description This Article considers the Wigner-Ville spectrum (WVS) and polynomial Wigner-Ville distributions (PWVDs) for the analysis of polynomial FM signals corrupted by multiplicative and additive noise. In the noisy linear FM case, the WVS is shown to give optimal IF localization. Accordingly, the peak of the WVS is proposed as an IF estimator. A statistical performance test shows that this estimator is very accurate even at low signal-to-noise ratio values. For the case of the noisy higher-order polynomial FM signal, the peak of the PWVD is shown to be a very consistent and accurate IF estimator. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated). en_US
dc.description.abstract The Wigner-Ville spectrum (WVS) and polynomial Wigner-Ville distributions (PWVDs) are considered for the analysis of polynomial FM signals corrupted by multiplicative and additive noise. In the noisy linear FM case, the WVS is shown to give optimal IF localization. Accordingly, the peak of the WVS is proposed as an IF estimator. A statistical performance test shows that this estimator is very accu- rate even at low signal-to-noise ratio values. For the case of the noisy higher-order polynomial FM signal, the peak of the PWVD is shown to be a very consistent and accurate IF estimator. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Wigner-Ville Spectrum en_US
dc.subject amplitude modulation en_US
dc.subject FM en_US
dc.subject polynomial FM signals en_US
dc.subject TVHOS en_US
dc.subject time-varying higher order spectra en_US
dc.subject PWVD en_US
dc.subject time-frequency distributions en_US
dc.subject instantaneous frequency estimation en_US
dc.title IF Estimation of FM Signals in Multiplicative Noise en_US
dc.type Book chapter en_US

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