一种基于多普勒信息的雷达目标跟踪方法

机载预警雷达采用脉冲多普勒体制,具有良好的低空探测性能,但其存在不可忽略的多普勒盲区问题。在目标跟踪的过程中,该盲区容易造成目标中断和重起批。针对多普勒盲区条件下的目标连续跟踪问题,文中提出了一种基于多普勒预测的扩展卡尔曼滤波算法(Doppler Prediction EKF,DP-EKF),该方法将多普勒盲区的先验信息并入到扩展卡尔曼滤波算法中,通过状态预测判断目标在未来时刻是否落入多普勒盲区,从而自适应地调整跟踪滤波规则,解决多普勒盲区条件下目标连续跟踪问题。仿真结果表明,该算法对于运动模型已知的航迹不连续目标具有较好的跟踪效果,能够维持其航迹的连续性。

A Method of Target Tracking Based on Doppler Information for Radar

Airborne early warning radar, which adopts pulse Doppler (PD) system, has good detection performance for low altitude targets, but the problem about Doppler blind zone can't be ignored. In the process of target tracking, the blind zone can cause track termination and new track initiation easily. Considering the problem of continuous target tracking in Doppler blind zone, an extended Kalman filtering algorithm based on Doppler prediction (DP-EKF) is proposed. The prior information of Doppler blind zone is incorporated into EKF, and then tracking rule is regulated adaptively by judging whether target falls into Doppler blind zone in the future according to target state prediction, which accordingly solves continuous target tracking problem. The simulation results show that the algorithm has good tracking performance for targets with deterministic motion model and discontinuous track, and can maintain target track effectively.