YAN Fei, FAN Yong-ling. A Multi-target Angle Tracking Algorithm Based on Improved PASTd[J]. Electronics Optics & Control, 2016, 23(1): 15
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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.