基于联邦滤波的抗欺骗干扰目标跟踪

基于联邦滤波思想将机载数据链、光电传感器和雷达的探测信息进行融合以解决跟踪过程中雷达易受欺骗干扰的问题。针对不同的欺骗干扰方式,对雷达受欺骗干扰时的量测特性进行了分析;提出了多传感器融合干扰检测算法;结合多模型交互、时间配准、信息等价转换、信息分配,提出了了机载多传感器联邦滤波抗欺骗干扰融合算法的具体实现方法。仿真结果表明本算法能够检测并应对雷达的欺骗干扰,确保对真实目标的有效跟踪。

A Study of Anti-deception-jamming for Target Tracking Based on Federal Filter

Based on the federal filter idea, the kinds of information from airborne data-link, photoelectric sensor and radar are fused to solve the problem that radar is liable to suffer from deception jamming in the process of tracking. First of all, measurement feature of the radar is analyzed, which is disturbed by using the different deception jamming methods, and the detection method of airborne multi-sensor jamming is studied. Combining with interacting multiple models, time unification, information equivalence transformation, and information distribution, this paper utilizes the federated filter for building an airborne multi-sensor anti-deception-jamming information fusion algorithm. The result of the computer simulation shows that the deception-jamming to radar can be detected, and the true target of radar- tracking can be ensured effectively by adopting the algorithm.