CFAR BINARY INTEGRATION DETECTION IN NONHOMOGENEOUS PARTIALLY CORRELATED CLUTTER

The problem of binary integration detection (M-out-of-L detectors) of a Swerling II target model in nonhomogeneous partially correlated clut ter is considered. The clutter is taken to be nonhomogeneous and consi sts of a step discontinuity. The low level contains independent therma l noise while the high level is assumed to contain spatially correlate d clutter. The authors propose a new censoring procedure based on the correlation test. This procedure uses the Fisher transform to locate t he clutter edge and determine whether the test cell in the clear or in the correlated clutter. The performance of M-out-of-L detectors for t his binary integration detection is investigated and studied.