一种新的雷达间隙辅助红外的机动目标跟踪算法

A New Algorithm of Tracking Maneuvering Target Based on IR with Intermittent-working Radar Auxiliary

论文针对雷达间隙辅助红外的机动目标跟踪问题,提出了一种新的跟踪算法。该算法由跟踪误差与精度指标的大小来选择雷达的开机时间,从而构成了一个闭环的跟踪系统,解决了在给定的跟踪精度指标下雷达的开机时间选择问题。其思想为:在内层通过引进高、低门限,根据跟踪精度与门限的大小,自适应地选择交互式扩展卡尔曼滤波(IMM-EKF)或交互式粒子滤波(IMM-PF);在外层将基于雷达量测的滤波结果和红外量测的滤波结果进行交互;从而实现了两层交互式自适应滤波。仿真结果表明该算法在计算复杂度和跟踪精度上达到了较好的平衡,实现了雷达间隙开机下对目标稳定的跟踪。

Considered the problem of maneuvering target tracking based on IR with Intermittent-working Radar Auxiliary, a novel algorithm is presented. The algorithm chooses the emission time of Radar according to tracking error and accuracy parameter which constitutes a closed-loop tracking system. The main idea is that in the inner side, high and low thresh- old, IMM-EKF and IMM-PF are chosen adaptively according to tracking accuracy and threshold; in the outer side, the filtering results of IR and radar are fused to realize a two layer interactive adaptive filtering algorithm. Simulation results show that the algorithm can keep good balance in computational complexity and tracking accuracy and it can realize stable target tracking with Intermittent-working Radar Auxiliary.