Analysis of an adaptive detection algorithm for non-homogeneous environments

The adaptive matched filter (AMF) detector is known to be highly vulnerable to jammers and clutter discretes on which it has not properly trained. A vulnerability often leading to impractical false alarm rates in non-homogeneous environments. Sequentially following the AMF test with the adaptive cosine estimator (ACE) detector was proposed as a method of regulating the AMF´s high false alarm rate. The overall detection algorithm, called the adaptive sidelobe blanker (ASB), is two dimensional and has exhibited significant potential in experimental settings of inhomogeneous environments. This paper theoretically examines the potential of this algorithm for application in non-homogeneous environments