摘要
为了实现移动目标的自动角度跟踪,提出了一种基于面阵的多目标角度跟踪算法。通过估计相邻时间段的协方差矩阵,求解方程组得到目标角度更新信息;同时引入了校正过程,降低了累积误差,提高了跟踪精度。该算法不需要更新信号子空间,相邻时段估计的角度是自动关联的,省去了数据关联过程,降低了运算量;不同于一维角度跟踪算法,该算法可以同时跟踪移动目标的方位角和俯仰角。仿真结果表明了该算法的有效性。
To track the moving targets＇ angle automatically, a new multiple targets angle tracking algorithm based on planar array is proposed. By updating the covariance matrixes, angle innovation is obtained by solving equations, and a calibration method is used to reduce the estimation errors, and the performance of the algorithm is improved. The process of data association and the signal subspace need not applied which will cost large calculating account, because the angle gotten by the algorithm is associated automatically. Different from the one dimension angle tracking algorithms, this algorithm can track the moving targets＇ elevation and azimuth. Simulation results show the validity of the algorithm.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第1期417-420,共4页
Computer Engineering and Design
关键词
多目标跟踪
角跟踪
协方差矩阵
数据关联
多重信号分类
multiple targets tracking； angle tracking
covariance matrix； data association； MUSIC
