Title :
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
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;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186614
