Nonparametric signal detection algorithm using permutation statistics of signal partial likelihood ratios

This paper presents a new approach to design radar signal detection algorithms that are applicable when a priori information is limited. The problem is formulated as testing the hypothesis of the kind of a density function. A new method that uses nonparametric statistics of partial likelihood ratios and allows adopting a permutation test in a practical algorithm is suggested and researched. The results can be used for signal detection and processing in different radar systems.