Rank signal detection algorithms based on permutations of 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 hypothesis on the kind of density function. A new method that uses ranks of partial likelihood ratios allows to adopt permutation test in a practical algorithm is suggested and researched. This approach gives a possibility to construct the rank detection algorithms, which are sensitive for the signal change for different situations, in the most simple and natural way. The results are useful for applications of signal detection in surveillance and remote sensing radar systems