CFAR Algorithm for Improving Detections on Radar Raw Data Matrices

Abstract

This paper presents algorithms for improving Constant False Alarm Rate (CFAR) detections on raw radar data matrices. Acceleration of radar signal processing was assessed by the application of Cell-Averaging CFAR (CA-CFAR) in four specific optimization cases. Reduction of clutter impact in CA-CFAR was also implemented in order to enhance CA-CFAR operation. For the simulation setup, synthetic radar signals with different Signal-to-Noise Ratio (SNR) values were used. It is further demonstrated that radar signal processing computational complexity can be reduced by applying CA-CFAR on the vector consisting of computed statistical values.