Two-channel tests for common non-Gaussian signal detection

Author

Tugnait, Jitendra K.

Author_Institution

Dept. of Electr. Eng., Auburn Univ., AL, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

238

Abstract

The problem of detecting an unknown, random, stationary, non-Gaussian signal that is common to two spatially separated sensors, is considered. The signal is assumed to have nonvanishing bispectrum. The measurement noise sequences at the two sensors are either mutually independent with arbitrary cumulant spectra, or dependent with vanishing bispectra. Two statistical tests are presented for signal detection when the noise statistics are unknown. The performance of the tests is illustrated via simulation examples

Keywords

array signal processing; higher order statistics; random processes; signal detection; spectral analysis; statistical analysis; arbitrary cumulant spectra; common nonGaussian signal detection; measurement noise sequences; noise statistics; nonvanishing bispectrum; performance; spatially separated sensors; statistical tests; two-channel tests; unknown random stationary nonGaussian signal; vanishing bispectra; Delay effects; Detectors; Gaussian noise; Higher order statistics; Noise measurement; Parameter estimation; Radar detection; Radar signal processing; Signal detection; Statistical analysis; 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.1993.342508

Filename

342508