基于导航雷达实测数据的CFAR检测算法分析

Analysis of CFAR Detection Algorithm Based on Marine Radar Real Data

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。

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 unknown statistical 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 target, but degraded greatly in detecting targets in multi-target environment. The SO detector, although having a better detection performance for the mentioned above environment, but had less ability of clutter suppression. The MMD detector had a better performance in detection and clutter suppression in multi-target environment.