CFAR detection based on decision fusion of order statistic CFAR and order statistic clutter map CFAR processors

Abstract

In automatic target detection radars, adaptive constant false alarm rate (CFAR) processors, which determine the threshold, are examined. Two techniques are used for achieving the required CFAR. The first technique determines the adaptive threshold using range neighbouring cells which are located in sliding window. The second one is based on clutter map. In this technique, adaptive threshold is determined using the samples of test cell from previous scans which are assumed to contain no target. In this study, new techniques based on combining the two techniques in the data fusion system (DFS), are proposed. Analytical equations for homogeneous and nonhomogeneous environment are derived and performance analysis are carried out.