A distributed CFAR processor with data fusion for correlated targets in homogeneous clutter

Abstract

A distributed constant false alarm rate (CFAR) detector with data fusion when a clutter power transition and partially correlated Rayleigh targets are present in the range resolution cells is discussed. It is shown that by appropriately selecting the fusion rule at the data fusion center, the detection performance may be less sensitive to the degree of correlation among the received pulses. Analytical expressions for the overall probability of detection and the overall probability of false alarm for a general target correlation model and any M-out-of-L fusion rule are derived.<>