基于高频地波雷达的无角度双站雷达目标跟踪算法

Bi-station Radar Target Tracking Algorithm without Azimuth Based on High Frequency Surface Wave Radar

高频地波雷达对于远距离目标难以给出准确的方位角观测信息,从而严重影响超视距目标的跟踪精度。为此,提出一种基于高度参数化扩展卡尔曼滤波(HPEKF)的无角度双站雷达目标跟踪算法,仅需要2部雷达得到距离和径向速度信息。通过HPEKF技术可以对目标进行三维定位与跟踪,忽略雷达量测的方位角信息,较好地弥补当目标距离较远时测量角度精度不够精确的问题,扩展了算法的应用环境。仿真实验结果验证了该算法的可行性和有效性。

The azimuth accuracy of High Frequency Surface Wave Radar（ HFSWR） is very low,especially for long distance target,w hich can seriously affect the accuracy of tracking over-the-horizon targets. Aiming at this problem,a high frequency ground w ave bi-station system w ith no bearing based on high-parameterized Extended Kalman Filtering（ HPEKF） is proposed. The system implements tracking target in three dimensions,using only range and doppler measurements of tw o radar stations combining w ith HPEKF. This method ignores the azimuth information of radar measurements,w hich solves the problem of inaccurate angle measurement for the far distance target,extends the application environment of the algorithm. The simulation result in computer verifies the feasibility and validity of the algorithm.