| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 566587 | Signal Processing | 2012 | 5 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Nan Hu, Zhongfu Ye, Dongyang Xu, Shenghong Cao,