Title :
Two-channel tests for common non-Gaussian signal detection
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
fDate :
12/1/1993 12:00:00 AM
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 a 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 by computer simulation examples
Keywords :
random processes; signal detection; spectral analysis; statistical analysis; computer simulation; cumulant spectra; measurement noise sequences; nonGaussian signal detection; nonvanishing bispectrum; random stationary signal; spatially separated sensors; two-channel statistical tests;
Journal_Title :
Radar and Signal Processing, IEE Proceedings F
