针对在复杂环境下基于卡尔曼滤波的雷达目标跟踪中存在的鲁棒性和自适应性较差的问题,研究了一种新的雷达目标自适应鲁棒跟踪算法;通过引入自适应渐消因子,对估计误差协方差和滤波增益矩阵进行在线自适应调整,从而使得滤波算法具备良好的鲁棒性和自适应性,提高雷达目标跟踪的精度。最后,通过仿真对所研究的方法进行了验证。

The robustness and adaption ability of radar target tracking algorithms based on the traditional Kalman filters are not satisfactory. A radar target tracking algorithm based on adaptive filtering has been investigated. The estimation error covariance and gain matrix can be adjusted adaptively by introducing an adaptive fading factor, which could improve the robustness and adaption ability of the filter algorithm and enhance the tracking precision. Finally, the effectiveness of the proposed method has been verified.

TN957

国家自然科学基金资助项目(61973288);江苏省自然科学基金资助项目(BK20191133)