The Innovative Signal Detection Methods in a Mixture of Symmetric -stable and Gaussian Interference

After summarizing and analyzing the existing signal detection methods in a-stable noise, several innovative signal detection methods based on Fractional Low Order Moments (FLOMs) are proposed in this paper, which are the improved moment-type method and the new locally suboptimum method respectively. And these detectors are available in both the Symmetric a-stable (SaS) interference and the mixture of Gaussian and SaS interference. At the same time, Monte Carlo simulations demonstrate that all these detectors are efficient and they outperform the existing methods.