采用单次快拍数据实现信源DOA估计

针对均匀线性阵列DOA估计中的实时性和解相干问题,提出了一种基于单次快拍数据的估计算法,通过对阵列接收的单次快拍数据进行相关处理后重构Toeplitz矩阵,并证明该矩阵的秩不受信号相干性的影响。通过特征值分解,得到对应的信号子空间和噪声子空间,结合MUSIC算法和ESPRIT算法实现了对相干和非相干信号的DOA估计。算法不损失阵列孔径,具有更好的实时性和抗噪声干扰的能力；在低信噪比条件下,仍具有较好的估计性能。最后计算机仿真结果证实了算法的有效性和可行性。

DOA Estimation of Signals Using one Snapshot

A new algorithm based on one single snapshot is proposed for the instantaneity and decorrelation problems among Direction-Of-Arrival (DOA) estimation of signals on a ULA, which reconstructs a Toeplitz matrix using the correlation processed data vector. It is proved that the rank of this Toeplitz matrix 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 and the DOA of coherent and incoherent signals can be estimated combined with the subspace kind algorithms such as MUSIC and ESPRIT. This algorithm, without reducing the aperture of array, enhances the performances of DOA estimation under low SNR condition. Simulation results verify that the proposed algorithm is effective.