Name
Abstract | ||
|---|---|---|
The low-rank matrix reconstruction (LRMR) approach is widely used in direction-of-arrival (DOA) estimation. As the rank norm penalty in an LRMR is NP-hard to compute, the nuclear norm (or the trace norm for a positive semidefinite matrix) has been often employed as a convex relaxation of the rank norm. However, solving a nuclear norm convex problem may lead to a suboptimal solution of the original... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVT.2018.2817638 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Direction-of-arrival estimation,Estimation,Covariance matrices,Convergence,Multiple signal classification,Signal to noise ratio | Journal | 67 |
Issue | ISSN | Citations |
6 | 0018-9545 | 5 |
PageRank | References | Authors |
0.41 | 22 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaohuan Wu | 1 | 28 | 8.28 |
| Wei-Ping Zhu | 2 | 111 | 28.94 |
| Jun Yan | 3 | 27 | 4.53 |