Design of Improved Reference Window for 2D CFAR and Implementation on Zynq

Abstract

Constant false alarm rate (CFAR) detector is the key device in radar system, which usually needs two-dimensional processing for sea surface scene. In order to improve the detection ability and accuracy of the detector, an improved two-dimensional CFAR detection window is proposed by optimizing the selection rules of reference cells. The performance of the window is tested with simulated data and measured data. Among them, the processing of measured data is realized based on Zynq platform, and the overall scheme of radar data reading, writing and processing is innovatively designed, whose working stability and processing accuracy meet the requirements. CFAR detection results indicate that the improved reference window can effectively improve the ability of sea surface target detection and false alarm suppression, which shows certain engineering application value.