机载雷达和ESM系统误差下的融合跟踪

Fusion tracking of airborne radar and ESM sensors with systematic errors

针对机载雷达和ESM系统误差下的融合跟踪问题,提出了一种基于数据压缩和间歇式雷达管理的异类传感器融合跟踪算法。首先通过数据压缩的方法对雷达和ESM间断量测进行融合跟踪,接着在此基础上利用融合跟踪中预测协方差和预定门限的比值对雷达实施开关机处理,以求有效提高作战飞机在融合跟踪中的抗干扰和反侦察能力。仿真结果表明,该算法可有效地实现系统误差下的目标融合跟踪。

To improve the tracking of airborne radar and ESM sensors with systematic errors,a heterogeneous fusion tracking algorithm is proposed based on data compressing and intermittent radar management.The intermittent measurement from radar and ESM sensors are processed by using the data compressing method firstly.Then the comparison of the predicted covariance and the given threshold during the fusion process is further used to decide the on-off time of radar.In this case,warfare airplane＇s concealment capacity and survival capacity can be validly progressed.Simulation results show that target tracking can be finished effectively by using the proposed method with the systematic errors.