组网雷达在干扰条件下的目标跟踪

Radar Network Target Tracking in a Jamming Environment

提出了一种以扩展的伪线性滤波为基础的异步多传感器融合跟踪算法。这种算法能在干扰条件下较好地保持对目标的跟踪。比较了它和ＭＧＥＫＦ（修正增益的卡尔曼滤波）算法对单目标的跟踪性能。同时，在此方法基础上，结合简化的ＪＰＤＡ（联合概率数据关联）技术，实现了杂波环境下对交叉运动的多目标跟踪。最后给出了仿真结果。

A fusion algorithm is presented for asynchronous multi-sited-sensors target tracking based on pseudo measurement filter. Even in a jamming environment it can preserve the tracking of target. The difference between the algorithm and MGEKF is discussed. Afterwards, in conjunction with a simplified joint probabilistic data association method, the tracking of two cross moving targets in clutter was implemented.