Array detection of random signals in spherically invariant noise
Luciano Izzo, Mario Tanda · The Journal of the Acoustical Society of America · 1993
The locally optimum array detector for a random signal embedded in spherically invariant noise is synthesized. In this observation model, the signal of interest is common to each array element and the noise samples are assumed to be spatially independent across the array, but temporally correlated. Moreover, the noise at each sensor is modeled as a spherically invariant random process, which is completely characterized by the univariate probability density function, the mean, and the covariance function. The performance is assessed via computer simulations and is compared with those of two suboptimum detectors. The first one is the locally optimum detector for Gaussian correlated noise; the second one is the locally optimum detector for temporally independent non-Gaussian noise samples.