针对多假目标欺骗干扰下异地配置的主/被动雷达传感器系统,分别基于角度统计量和距离统计量提出了三维情况下的主/被动雷达联合鉴别虚假目标算法。基于角度统计量的鉴别算法主要使用卡方检验的方法对主/被动雷达的角度量测进行比较以鉴别虚假目标;基于距离统计量的鉴别算法首先用交叉定位的方法确定目标的位置和距离,再与主动雷达的距离量测进行比较以鉴别虚假目标。最后通过仿真的方法分析了观测次数、虚假目标距离和被动雷达精度对算法鉴别虚假目标概率的影响,结果表明该算法可使主/被动雷达系统有效地鉴别假目标。
To reject multi-false-target deception jamming,two data processing algorithms in three dimensions based on angle statistics and range statistics are proposed for active/passive radar at Different Sites.In the discrimination algorithm based on angle statistics,it was through comparing the angular measurement of active radar with that of passive radar using chi-square statistics to discriminate the active decoys.In the discrimination algorithm based on range statistics,firstly the location and distance of the object was determined through cross-location,and then the active decoys was discriminated through comparing the distance of the object with that of active radar's distance measurement.Finally,the influence of observation frequency,the distance of active decoys and the passive radar accuracy on algorithm's discrimination probability was analyzed by using modeling methods.Simulation results show that active/passive radar can reject the false targets effectively using this algorithm.