Statistical performance analysis of the adaptive sidelobe blanker detection algorithm

A method was proposed for reducing the high false alarm rate of the adaptive matched filter (AMF) under non-homogeneous conditions. It consists of sequentially following the AMF test with the adaptive cosine estimator (ACE) which determines what fraction of the total energy present in a test cell originates from the target direction. The overall detection algorithm, called the adaptive sidelobe blanker (ASB), is two dimensional and has exhibited significant potential in experimental settings. The goal of this paper is to provide a theoretical analysis of this 2-D algorithm.