MIMO雷达中一种降维MUSIC的相干角度估计算法

A reduced dimension-MUSIC based coherent angle estimation for MIMO radar

研究单快拍下双基地多输入多输出(Multiple-Input Multiple-Output,MIMO)雷达中相干信源的离开角(Direction of departure,DOD)与到达角(direction of arrival,DOA)联合估计问题。利用单快拍下双基地MIMO雷达的接收信号构造一组Toeplitz矩阵,利用这组Toeplitz矩阵重构一个信号矩阵,提出一种基于降维多重信号分类(Reduced Dimension Multiple Signal Classification,RD-MU-SIC)的DOD与DOA联合估计算法。提出的算法能够有效估计相干信源以及非相干信源的角度,实现角度的自动配对,并且角度估计性能远优于FBSS-ESPRIT算法以及ESPRIT-like算法。仿真结果验证了算法的有效性。

This paper discusses the problem of joint coherent direction of departure （DOD） and direction of arrival （DOA） estimation in bistatic multi-input multi-output （MIMO） radar using a single snapshot. The paper uses the received data to construct a set of Toeplitz matrices and constructs a new received data ma- trix, then proposes a Reduced Dimension Multiple Signal Classification （RD-MUSIC） based joint DOD and DOA estimation algorithm. The proposed angle estimation algorithm is effective for coherent sources and in- coherent sources, and it can automatically pair the DOD and DOA. Our algorithm has much better angle es- timation performance than the forward backward spatial smoothing based estimation method of signal param- eters via rotational invariance techniques （FBSS-ESPRIT） algorithm and the Estimation of Signal Parame- ters via Rotational Invariance Techniques- like （ESPRIT-like） algorithm for bistatic MIMO radar. Simulation results present the effectiveness and improvement of the proposed algorithm.