一种场监雷达杂波图算法及工程实现

摘要

以场面监视雷达杂波图应用技术为背景,在研究二维杂波图形成原理的基础上,首先介绍了将3种典型的CFAR检测算法:CA-CFAR,OS-CFAR及CMLD-CFAR用于轮廓杂波图形成,随后给出了雷达系统信号处理流程及杂波图形成工程化算法实现流程,最后利用实测数据进行了轮廓杂波图形成,并针对以上3种方法进行了性能对比分析.实测数据处理结果表明:采用CMLD-CFAR算法具有比CA-CFAR相对更好的杂波边缘检测性能,同时不至于如OS-CFAR算法那样将大量非杂波单元判为杂波单元,更适合于实际工程应用.%In order to use clutter map in surface movement radar(SMR),on basis of studying the principle of forming 2D-clutter map,firstly,three typical constant false alarm (CFAR) algorithms are introduced to forming profile clutter map,which are CA-CFAR,OS-CFAR and CMLD-CFAR.Then,a system signal processing flow and an engineering algorithm of forming profile clutter map are proposed.Finally,the real data are applied to forming clutter map and a comparative analysis is made.The results show that the CMLD-CFAR can obtain better clutter edge detection than CA-CFAR,and at the same time it can provide better performance of clutter false alarm than OS-CFAR.Therefore,it is more suitable for engineering applications.