雷达抗距离多假目标干扰的时域融合算法  

Temporal Fusion Algorithm of Anti Multi-Range-False-Target Jamming for Radar

作　　者：李迎春[1] 王国宏[1] 孙殿星[1] 吴巍[1] 

机构地区：[1]海军航空工程学院信息融合研究所,山东烟台264001

出　　处：《现代防御技术》2015年第5期151-158,共8页Modern Defence Technology

基　　金：国家自然科学基金(61179018;61002006);"泰山学者"建设工程专项经费资助课题

摘　　要：针对现有雷达抗距离多假目标干扰算法主要根据一个时刻的信号特征识别真假目标,其判决门限设定主观性强,容易导致误判率高的问题,在D-S证据理论框架下提出了基于时间递推融合的抗距离多假目标干扰算法。首先对用于航迹更新的点迹进行基于卡方检验的分组,判定雷达是否遭受距离多假目标干扰,构建基于信噪比的点迹基本概率赋值函数,然后与前一时刻的航迹基本概率赋值函数进行递推融合,得到当前时刻的航迹基本概率赋值函数,最后基于航迹基本概率赋值函数进行了真假航迹判决。仿真结果表明,该算法能快速识别距离多假目标干扰,真假目标鉴别率较高。In view of the question that the existing algorithms of anti multi-range-false-target jamming for radar mainly use one-time signal characteristics to distinguish true and false targets, and the setting of decision threshold is too subjective that it may cause high error rate of decision, a new algorithm of anti multi-range-false-target jamming for radar based on time recursion and fusion is proposed on the D-S theo- ry framework. Firstly, the measurements to be used as updating track are grouped based on the chi- square test, it is to discriminate whether the radar is jammed by range deception or not. The plot~ BPA （basic probability assignment） functions based on SNR （signal noise ratio） are constructed, then they are fused recursively with the previous-time track ＇ s BPA functions, and the current-time track ＇ s BPA functions are obtained. At last, whether the track is true or false is determined, and the anti-range-de- ception effectiveness is achieved. The simulation result shows that, the algorithm can quickly identify multi-range-false-target jamming, and can distinguish true and false targets by time recursion and fusion with high differentiation rate.

关 键 词：距离多假目标干扰 时间递推融合 D-S证据理论 信噪比 

分 类 号：TN973.3[电子电信—信号与信息处理]