基于Toeplitz矩阵重构的相干信源二维DOA估计算法

针对空间相干信源的二维DOA估计问题,提出一种基于Toeplitz矩阵重构的新算法。采用垂直放置的L形阵列,通过对重构的Toeplitz矩阵进行特征分解,得到对应的噪声子空间,并用MUSIC算法进行有限次一维搜索,先后估计出俯仰角和相应的方位角。与空间平滑处理算法相比,不减少阵元的有效孔径,具有更强解相干能力,估计性能也优于后者。最后计算机仿真结果证实了算法的有效性和可行性。

Two-Dimensional DOA Estimation of Coherent Signals Based on the Toeplitz Matrix Reconstruction

For two-dimensional DOA estimation of coherent signals,a new algorithm is proposed based on the Toeplitz matrix reconstruction.Through the eigenvalue decomposition of the matrixes using the upright L-shape array,this algorithm gets noise subspaces.According to the MUSIC algorithm,elevations can be estimated by one-dimensional spectral peak searching and each corresponding azimuth can be estimated through searching based on each elevation estimations.Compared with spatial smoothing algorithm,without reducing the aperture of array,the ability of estimation is improved by this method.Finally the simulation results show the method is effective.