MIMO雷达中一种降维MUSIC的相干角度估计算法

研究单快拍下双基地多输入多输出（Multiple—InputMultiple-Output，MIMO）雷达中相干信源的离开角（Directionofdeparture，DOD）与到达角（directionofarrival，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ToepIitz矩阵重构一个信号矩阵，提出一种基于降维多重信号分类（ReducedDimensionMultipleSignalClassification，RD-MUSIC）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。

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

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.