子空间波达方向 (DOA)估计方法的一个缺点是在子空间分解过程中难以利用信号的相关信息或有关DOA估计的先验信息改善DOA估计的性能。结合子空间方法和协方差矩阵拟合方法 ,利用信号相关信息和DOA估计的稀疏约束信息 ,研究了一种新的不相关窄带信号DOA估计方法。理论分析和仿真实验结果表明 ,这种迭代DOA估计方法一般经过几次迭代就能获得稳定的高分辨率DOA估计。 A disadvantage of the subspace DOA estimation method is that it is difficult to utilize the signal correlation information or prior information about the DOA estimation to improve the performance of the DOA estimation in the subspace decomposition process. Combining the subspace method and the covariance matrix fitting method, a new DOA estimation method for uncorrelated narrow-band signals is studied by using signal-related information and sparse constraint information of DOA estimation. Theoretical analysis and simulation results show that the iterative DOA estimation method can obtain stable high resolution DOA estimation after several iterations.