Detection and estimation of chirp signals in non-Gaussian noise

Author

Shamsunder, Sanyogita ; Giannakis, Georgios B.

Author_Institution

Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

1191

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

Keywords

least squares approximations; maximum likelihood estimation; parameter estimation; random noise; search problems; signal detection; Cramer-Rao lower bounds; Gaussian noise; additive noise; asymptotic bounds; chirp signal detection; chirp signal estimation; colored noise; cyclostationary approach; estimation error; least-squares method; multiplicative noise; non-Gaussian noise; parameter estimation; Acoustics; Additive noise; Chirp; Colored noise; Estimation error; Parameter estimation; Radar; Signal detection; Signal processing; Statistics; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342383

Filename

342383