摘要
针对双基地多输入多输出(multiple input multiple output,MIMO)雷达目标角度跟踪问题,提出了一种改进型紧缩投影近似子空间跟踪(projection approximation subspace tracking deflation,PASTd)算法。PASTd算法性能较好,被大量应用于双基地MIMO雷达角度跟踪中,但是PASTd算法不能跟踪相同发射角(direction of departure,DOD)或接收角(direction of arrival,DOA)的目标,并且无法实现不同时刻同一目标角度的自动关联。改进PASTd算法首先给出了目标角度自动关联算法,且能够实现收发角度的自动配对。然后利用估计出的收发角度,得到此时的收发联合导向矢量。最后用收发联合导向矢量更新PASTd算法估计出的特征矢量,作为下一时刻跟踪算法的初始矢量。改进算法克服了PASTd算法的不足,能够成功跟踪相同角度的目标,并且实现了目标收发角度自动配对和关联。仿真结果验证了理论分析的有效性。
An improved projection approximation subspace tracking deflation(PASTd)is proposed for the problem of tracking the angle of targets in bistatic multiple input multiple output(MIMO)radar.The PASTd algorithm has good performance and is widely used in bistatic MIMO radar angle tracking.However,the PASTd algorithm cannot track the target of the same direction of departure(DOD)or direction of arrival(DOA)and achieve automatic association of target angles.Firstly,the automatic correlation algorithm of target angle is given in the improved PASTd algorithm,which realizes DOD and DOA of the same moment automatic pairing.Secondly,the send and receive joint steering vector is obtained by the estimated angle.Finally,the characteristic vertor is updated by the send and receive joint steering vector,which is estimated by the PASTd algorithm.It is used as the initial vector of the tracking algorithm for the next moment.The improved algorithm overcomes the shortcomings of the PASTd algorithm and can successfully track the target of the same angle.It realizes the automatic matching and association of DOD and DOA.Simulation results are presented to verify the efficiency of the proposed method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2018年第1期65-72,共8页
Systems Engineering and Electronics
关键词
双基地多输入多输出雷达
投影逼近子空间跟踪压缩
角度跟踪
信号子空间
角度自动配对和关联
bistatic multiple input multiple output(MIMO)radar
projection approximation subspace tracking deflation
angles tracking
signal subspace
angle automatic pairing and association
