摘要
为实现移动目标的自动角度跟踪,提出了一种基于改进PASTd的面阵子空间多目标角度跟踪算法。首先利用改进的PASTd算法跟踪信号子空间,与其他子空间跟踪算法不同,该算法具有更快的收敛速度,同时确保得到的信号子空间单位化正交,避免了计算多维逆矩阵,降低了运算量;然后采用卡尔曼滤波获得当前多个目标的角度估计值,整个跟踪过程是自动的。不同于一维角度跟踪算法,该算法可以同时跟踪多个目标的方位角和俯仰角。仿真结果验证了该方法的有效性。
To implement automatic angle tracking of moving targets automatically,a new multi-target angle tracking algorithm is proposed based on PASTd and Kalman filter. The improved PASTd algorithm is used to track the signal subspace. Different from other signal subspace tracking algorithms,this algorithm has faster convergence speed and less calculation cost owing to the orthogonal signal subspace. Then,the angles of multiple targets can be predicted by using Kalman filter,with the tracking process executed automatically.Different from other one-dimensional tracking algorithms,this algorithm can track the elevation and azimuth of multiple targets simultaneously. Simulation results show the validity of the new algorithm.
出处
《电光与控制》
北大核心
2016年第1期15-18,43,共5页
Electronics Optics & Control
