Adaptive noncoherent integration algorithms for array detection

Adaptive noncoherent integration algorithms are of interest in array processing for a variety of reasons. These algorithms combine the operations of adaptive interference suppression and noncoherent integration and are useful especially when the signal-to-interference plus noise ratio in each coherent processing interval (CPI) is limited. The algorithms also improve the capability of detecting fluctuating targets in interference. In this paper, the adaptive matched filter (AMF) test and the generalized likelihood ratio test (GLRT) are generalized to include both operations of interference suppression and noncoherent integration. Analytical expressions for the detection performance of these algorithms are provided.