DISTRIBUTED CFAR DETECTION IN HOMOGENEOUS AND NONHOMOGENEOUS BACKGROUNDS

The performance of distributed constant false alarm rate (CFAR) detect ion with data fusion both In homogeneous and nonhomogeneous Gaussian b ackgrounds is analyzed. The ordered statistics (OS) CFAR detectors are employed as local detectors. With a Swerling type I target model, in the homogeneous background, the global probability of detection for a given fixed global probability of false alarm is maximized by optimizi ng both the threshold multipliers and the order numbers of the local O S-CFAR detectors. In the nonhomogeneous background with multiple targe ts or clutter edges, the performance of the detection system is analyz ed and its performance is compared with the performance of the distrib uted cell-averaging (CA) CFAR detection system.