基于导航雷达实测数据的CFAR检测算法分析

为提高导航雷达在复杂环境中的目标检测能力,研究了修正中值(MMD)检测器在导航雷达中的应用,并与经典非参量广义符号(GS)检测器和参量最小选择(SO)检测器的检测结果进行对比。仿真结果表明:GS检测器对海上单一目标有较好的检测性能,但是在多目标环境下的检测性能严重下降;SO检测器虽然对上述环境有较好的检测性能,但是由于杂波包络分布类型难以准确已知,杂波抑制能力较差;MMD检测器在多目标环境下有较好的检测性能和杂波抑制能力。

Analysis of CFAR Detection Algorithm Based on Marine Radar Real Data

The operational environment of marine radar is extremely complicated, In order to improve the target detection,the MMD nonparametric detector in multi-target environment was studied based on the real sea clutter data with unknownstatistical propertied, and it was compared with generalized sign (GS) nonparametric detector and smallest of (SO) paramet.ric detector. The results show that, under the sea clutter the GS detector had a better performance in detecting a single tar.get, but degraded greatly in detecting targets in multi-target environment. The SO detector, although having a better detec.tion performance for the mentioned above environment, but had less ability of clutter suppression. The MMD detector hada better performance in detection and clutter suppression in multi-target environment.