Fast communication: A sparse recovery algorithm for DOA estimation using weighted subspace fitting
Fast communication: A sparse recovery algorithm for DOA estimation using weighted subspace fitting
复制标题
DOI：
10.1016/j.sigpro.2012.03.020
复制
发表时间：
2012-10
影响因子：
4.4
通讯作者：
Nan Hu;Z. Ye;Dongyang Xu;Shenghong Cao
中科院分区：
文献类型：
--
作者：
Nan Hu;Z. Ye;Dongyang Xu;Shenghong Cao
针对基于加权子空间拟合（WSF）的波达方向（DOA）估计问题，提出了一种新的稀疏恢复算法。该算法通过引入最优加权矩阵，证明了该算法是一种改进的SVD算法，并给出了稀疏惩罚与子空间拟合误差之间的正则化方案。数值仿真验证了该算法的有效性，并说明了在低信噪比下的性能改善。
A new algorithm involving sparse recovery is proposed to address the problem of direction-of-arrival (DOA) estimation using weighted subspace fitting (WSF). The proposed algorithm proves to be a modified version of ℓ1-SVD by using an optimal weighting matrix, wherein a scheme of regularization between sparsity penalty and subspace fitting error is also given for all SNR range. Numerical simulations verify the efficiency of the proposed algorithm and illustrate the performance improvement in low SNR.