摘要
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,提出了一种新的三维情况下主/被动雷达联合鉴别虚假目标算法。首先采用基准线最小距离法排除部分虚假目标,再利用三维分配算法进一步进行鉴别。该算法与基于角度统计量和距离统计量鉴别虚假目标算法相比,可以得到较高的正确鉴别概率和较低的误鉴别概率。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/被动雷达系统有效鉴别假目标。
To reject multi-false-target deception jamming, a new data processing algorithm in three dimensions（3D） is proposed for active/passive radar at different sites. In the discrimination algorithm, datum line minimum distance algorithm is adopted to eliminate some false target, and 3D assignment al- gorithm is adopted to discriminate the active decoys. Compared with the discrimination algorithm based on angle statistics and the discrimination algorithm based on range statistics, the new discrimination algo- rithm can acquire higher correct discrimination probability and lower incorrect discrimination probability. Finally, the influence of observation frequency, the distance of active decoys and the passive radar accu- racy on algorithm＇ s discrimination probability are analyzed by using modeling methods. Simulation results show that active/passive radar can reject the false targets effectively by using this algorithm.
出处
《现代防御技术》
北大核心
2012年第6期118-124,共7页
Modern Defence Technology
基金
国家自然科学基金资助项目(61002006
61032001
60972159)
"泰山学者"建设工程专项经费资助项目
关键词
距离多假目标欺骗干扰
主
被动雷达
三维分配算法
鉴别
multi-range-false-target deception jamming
active/passive radar
three dimensions（3 D） assignment algorithm
discrimination
