基于点迹融合的假目标鉴别方法研究

False-targets discrimination method based on measurement fusion

针对突防过程中的有源欺骗式多假目标干扰,提出了一种利用组网雷达的量测进行融合实现假目标鉴别的方法。首先进行卡方检验获得量测序列对,然后运用位置信息融合设定检验门限,提取真目标。在保证检测概率的基础上,利用多普勒速度融合进一步剔除假目标。仿真结果表明,该方法可有效鉴别真假目标,降低组网雷达被欺骗概率。

In the presence of active multi-false-target deception jamming from penetration process, a discrimination method based on measurement fusion is proposed for the radar network. Chi-square test is firstly operated and the sequence of the measurement is obtained. Then, to extract the true targets, the measurement fusion based on the location is used to set the threshold. Finally, without decreasing the recognition probability of the true targets, the false targets are additionally ticked out when the Doppler velocity fusion is applied after the the location fusion. The simulation result shows that the proposed method is effective for discriminating decoy. Thus. the deceived orobabilitv is significantly lower.