Performance analysis of multidimensional clutter map CFAR

It is difficult for radar to detect targets moving slowly on the ground or flying slowly with low altitude. In order to increase the detection probability of weak targets among strong clutter, it is useful to accumulate the echo signal of the target using Doppler information, and to adopt an effective CFAR procedures. Here a novel multidimensional clutter map CFAR (MDCM-CFAR) algorithm is proposed, compared with the traditional clutter map CFAR (CM-CFAR) and mean level CFAR algorithms. MDCM-CFAR has better detection performance.