A Blind Least-Squares Approach to STAP using MCA
Tapan K. Sarkar · 1998
Adaptive array processing algorithms have received much attention in the past three decades. Previous techniques have focused on statistical methods based on estimating covariance matrices. Howevel; the estimates are often inaccurate or inapplicable especially in dynamic environments. A novel technique is proposed to simultaneously estimate phase and amplitude (SEPA) of narrowband signals in highly non-homogeneous environments. A geometric interpretation of SEPA as a minimum norm operator is presented and two specific norms are investigated. The algorithm is then applied to the multi-channel airborne radar measurement (MCARM) data set. Targets are clearly detected in this severely cluttered scenerio.