Improved Moving Target Detection by Modified Unit Circle Roots Constrained Adaptive Matched Filter

In this paper, we propose the modified unit circle roots constrained adaptive matched filter (M-UCRC-AMF) for radar moving target detection. By judiciously incorporating the forward-backward averaged sample covariance matrix (FB-SCM) within the previously reported unit circle roots constrained adaptive matched filter (UCRC-AMF) algorithm, substantial increases in the probability of detection can be achieved with limited secondary data. The superiority of the proposed approach is demonstrated via simulation examples under the assumption of limited secondary data.