无源系统中时间差和角度变换跟踪算法

Tracking algorithm of TDoA and DoA measurement switching of passive tracking system

在使用时间差方法对目标进行无源跟踪时,跟踪系统中的各站点有时无法同步截获目标的信号,使跟踪过程中误差增大。提出基于时间差与角度切换的跟踪算法。该算法利用时间差和角度测量的结果,使用扩展卡尔曼滤波对目标跟踪,通过对每个周期各站截获信号和对目标跟踪精度的情况,选择输出两种方法对目标位置估计结果。算法比仅利用时间差的方法有更强的适应性,同时精度并没有下降。给出了算法的具体步骤,通过仿真实验验证该算法的有效性。

When passive target tracking is performed by using time difference of arrival （TDoA）, tracking error is increased because the stations in tracking system can not measure the target signal synchronously sometimes. A new method is proposed, which is by measuring based on the swithching of TDoA and directions of arrival （DoA） tracking methods, The algorithm employs the extended Kalman filter to track the target. TDoA and DoA measurements, and the target position estimation results are obtamed based on the signal acquired by the stations and precision of tracking in a period. The algorithm havs more adaptability than the method of using only the time difference of arrival and the precision of tracking does not decrease. The detailed process of the method is given and the simulation results show that the algorithm is effective.