Comparison of higher-order and cyclic approaches for estimating random amplitude modulated harmonics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

To estimate harmonics observed in random multiplicative and additive noise, algorithms relying upon second- or higher-order statistics have been derived after stationarizing the available cyclostationary and nonGaussian time series. Recently developed cyclic approaches exploit cyclostationarity and rely upon the cyclic mean, cyclic covariance, or, higher-order cyclic cumulants in order to: (i) detect and estimate frequencies of mono- and multicomponent random amplitude modulated harmonics, and (ii) characterize the multiplicative processes. Comparison based on estimator variances and simulations illustrate that cyclic approaches surmount existing methods in SNR gains and resolution and obviate restrictions on the bandwidth and distributions of the additive and multiplicative noise.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages225-229
Number of pages5
ISBN (Electronic)0780312384, 9780780312388
DOIs
StatePublished - Jan 1 1993
Externally publishedYes
Event1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993 - South Lake Tahoe, United States
Duration: Jun 7 1993Jun 9 1993

Publication series

NameProceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993

Conference

Conference1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993
CountryUnited States
CitySouth Lake Tahoe
Period6/7/936/9/93

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