Ensuring the Robustness of the Algorithm for Detecting Signals of Moving Targets against the Background of Non-Gaussian Clutter

In this paper the problem of ensuring the stability of the algorithm for detecting radar signals reflected from a moving target against the background of non-Gaussian interference is considered. An empirical Bayesian approach for the synthesis of decision-making rules is implemented using an autoregressive disturbance model, and a robust adaptive algorithm is also developed. Efficiency of the synthesized algorithm under the influence of non-Gaussian interference distributed according to the laws of Laplace and K-distribution is defined. Computer simulation was carried out using the Monte Carlo method.