基于四阶累积量的后验稀疏约束迭代DOA估计方法

子空间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。该文结合子空间方法和四阶累积量矩阵拟合方法,利用信号四阶累积量矩阵的结构信息与信号间相互独立的先验信息,研究了一种新的不相关窄带信号波达方向(DOA)的迭代估计方法。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 FOURTH-ORDER CUMULANT BASED RECURSIVE APPROACH TO DOA ESTIMATION WITH SPARSITY CONSTRAINT

One disadvantage with subspace-based DOA estimate method is that it is difficult to incorporate prior knowledge of the signal correlation into the eigen-decomposition. Herein, an estimator that combines ideas from subspace and four-order cumulant matching method is proposed, which makes it possible to incorporate the prior knowledge of signal correlation and sparsity of the DOA estimation into the estimator. Theoretical analysis and numerical results illustrate the robust and high resolution character of the estimator.