Transient signal detection using the Wigner bispectrum

Author

Fonollosa, Javier Rodríguez ; Nikias, Chrysostomos L.

Author_Institution

Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA

fYear

1991

fDate

4-6 Nov 1991

Firstpage

1087

Abstract

The authors present a novel scheme, based on a generalized maximum likelihood ratio theory and the Wigner bispectrum, for the adaptive detection of transient signals in low SNR (signal-to-noise ratio). They review the definition of Wigner high-order spectra (WHOS), compare the moment-oriented definition of WHOS with a cumulant-based definition, and apply the Wigner bispectrum (a particular case of WHOS for order k =2) in the problem of transient signal detection. Reduced interference higher-order distributions are introduced

Keywords

signal detection; spectral analysis; white noise; Wigner bispectrum; Wigner high-order spectra; adaptive detection; complex white Gaussian noise; cumulant-based definition; generalized maximum likelihood ratio theory; higher-order distributions; low SNR; moment-oriented definition; reduced interference distributions; signal-to-noise ratio; transient signal detection; Adaptive signal detection; Maximum likelihood detection; Radar detection; Signal analysis; Signal detection; Signal processing; Speech analysis; Testing; Time frequency analysis; Transient analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-2470-1

Type

conf

DOI

10.1109/ACSSC.1991.186614

Filename

186614