采用单次快拍数据实现相干信号DOA估计

DOA Estimation of Coherent Signals Using one Snapshot

该文针对均匀线性阵列的相干信号DOA估计问题,提出了一种基于单次快拍数据的解相干算法,该算法直接利用快拍数据构造一个Toeplitz矩阵,经理论推导,该Toeplitz矩阵的秩不受信号的相干性影响,仅和入射信号的个数有关,因此对该矩阵进行特征值分解可得到正确的信号子空间和噪声子空间,结合MUSIC,ESPRIT等子空间算法,即可实现对相干信号的DOA估计。数值仿真验证了该算法的有效性。

A new decorrelation algorithm based on one single snapshot is proposed for Direction-Of-Arrival （DOA） estimation of coherent signals on a ULA,which reconstructs a Toeplitz matrix using the observed data vector directly.It is proved that the rank of this Toeplitz matrix is determined merely by the number of incident sources and has no relations with the coherency of the signals.Then accurate signal subspace and noise subspace can be acquired by performing eigenvalue decomposition of the matrix.Combined with the subspace kind algorithms such as MUSIC and ESPRIT,the DOA of coherent signals can be estimated.Simulation results verify that the proposed algorithm is effective.