Wideband array signal processing with alpha-stable distributions
Panagiotis Tsakalides, Chrysostomos L. Nikias · 2002
The importance of extending the statistical array signal processing methodology to what we call the alpha-stable framework is apparent. First, scientists and engineers have started to appreciate infinite moments and the elegant scaling and self-similarity properties of stable distributions. Additionally, real life applications exist in which impulsive channels tend to produce large-amplitude, short-duration interference more frequently than Gaussian channels do. The stable law has been shown to successfully model noise over certain impulsive channels. We propose new robust techniques for wideband source detection and localization in the presence of noise modeled as a complex isotropic stable process.