Robust Algorithm for Detecting Moving Targets Against the Background of Non-Gaussian Clutter

Abstract

In this paper, the problem of synthesis of a robust algorithm for detecting radar signals reflected from a moving target against the background of broadband non-Gaussian clutter is considered. An empirical Bayesian approach has been implemented to synthesize a decision rule, using Laplace's autoregressive noise interference model, and develop a robust adaptive algorithm. Computer simulations were conducted to determine the effectiveness of the robust algorithm under the influence of non-Gaussian clutter.