Abstract:

Target detection on the basis of the CFAR is an algorithm that requires a given detection ratio and a strong contrast between target and background.The CFAR algorithm is realized by the comparison of the single pixel grayscale and threshold.The CFAR target detection algorithm is studied in the paper,and the concrete forms for fitted distributions are deduced particularly.Several typical CFAR detectors are given,such as the CA-CFAR detector.Simulation results show that in homogenous cluster area,all three detectors can detect targets,but the CA-CFAR has better detection performance.

Key words: target detection;clutter statistical model;CFAR;detector