Detection and estimation of chirp signals in non-Gaussian noise

Sanyogita Shamsunder, Georgios B. Giannakis

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

14 Scopus citations

Abstract

Detection of chirps in (non-Gaussian) additive and multiplicative noise is explored via a novel cyclostationary approach. A least-squares method for parameter estimation in colored noise is proposed and asymptotic bounds are derived on the estimation error. Cramer-Rao lower bounds are developed for chirp parameter estimation if the multiplicative and additive noise is Gaussian. Finally, simpler parameter estimation algorithms that only require linear searches are proposed as alternatives to the computationally complex optimal schemes.

Original languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference of Signals, Systems & Computers
PublisherPubl by IEEE
Pages1191-1195
Number of pages5
ISBN (Print)0818641207
StatePublished - 1993
EventProceedings of the 27th Asilomar Conference on Signals, Systems & Computers - Pacific Grove, CA, USA
Duration: Nov 1 1993Nov 3 1993

Publication series

NameConference Record of the Asilomar Conference of Signals, Systems & Computers
Volume2
ISSN (Print)1058-6393

Other

OtherProceedings of the 27th Asilomar Conference on Signals, Systems & Computers
CityPacific Grove, CA, USA
Period11/1/9311/3/93

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