Simulation for suppression of radar clutter by LIN/CFAR

摘要

We have observed Rayleigh distributed sea clutter by using a millimeter wave (MMW) radar. In a radar system, it is well known that the conventional LINICFAR techniques are effective for Rayleigh clutter. To apply these techniques to practical radar system, we considered three types of LIN/CFAR circuits including CFAR normalized by mean, root mean square and third root mean cube. The false alarm probability P{sub}(fa), the detection probability P{sub}d, and the CFAR loss were calculated by a Monte Carlo Simulation on a computer for a finite number of sample. And we use a LIN/CFAR normalized by mean, root mean square and third root mean cube to process the MMW radar image. The LINICFAR normalized by mean, root mean square and third root mean cube can increase their target-to-clutter ratio more than 1.9db. In the processed image, we able to detect the radar target easily by sea clutter suppression. It is concluded that the LIN/CFAR normalized by square mean root is superior to others for radar target detection.