Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty

The paper deals with the problem of synthesis of a robust detection algorithm for a harmonic signal on the background of correlated noise and impulse noise. The problem is solved using the empirical Bayes approach and the Tukey model of “pollution”. The efficiency of the algorithm is investigated by the Monte-Carlo method.