基于波束空间的后验稀疏约束迭代DOA估计方法

An Iterative Approach to DOA Estimation Based on Beam Space Pre processing and Sparsity Constraint

基于后验稀疏约束的高分辨窄带信号波达方向 (DOA)迭代估计算法在每次迭代时需要计算高阶矩阵的逆 .本文提出了后验稀疏约束迭代DOA估计的波束空间简化实现算法 .波束空间的滤波预处理避免了受噪声影响的正则化参数选取问题 .由于每次迭代需要求逆的矩阵阶数一般为 3或 4。

A non parametric algorithm for DOA estimation with high resolution is presented based on a single snapshot from a sensor array and a well designed beam space pre processor.The iterative de convolution processing utilizes the sparsity constraint.Numerical results illustrate that the algorithm converges to the DOA estimate with high resolution in a few iterations.