改进的稀疏约束波达方向估计方法

An Improved DOA Estimation Method Based on Sparsity Constraint

基于观测数据矢量形式的稀疏约束波达方向估计方法一般通过正则化处理抑制噪声 ,未能利用有关信号子空间的约束信息。在均匀线阵条件下 ,研究了一种新的基于观测数据矩阵形式的稀疏约束迭代单次快摄波达方向估计方法 ,能够利用数据矩阵的维数信息 ,并能自动保持Hankel结构约束 ,在较低信噪比条件下 ,改善了波达方向估计性能。

A novel iterative DOA estimation method based on matrix form of a single snapshot data is proposed in uniform linear array condition. The algorithm improves the performance of DOA estimation with high-resolution by using low-rank Hankel approximation of the data matrix and sparsity constraint of DOA estimation.