THE GENERALIZED QUANTILE ARRAY-PROCESSING DETECTOR

The problem of detection in the presence of a slowly varying not neces sarily Gaussian noise is treated in this paper by introducing the gene ralized Linear tests and the generalized quantiles test statistic T(i ). Detectors based on these tests combine the good qualities of order and partition statistics, i.e., increased efficiency and ease of imple mentation. Using an array of M sensors, the T(i) statistic, which com bines the power of rank tests, and the robustness of partition tests, is extended to its multivariate counterpart, and its performance is ev aluated for small signal-to-noise-ratio environments.