Name
Abstract | ||
|---|---|---|
•We introduce computationally efficient beamformers for large-scale uniform planar arrays.•Our simulation results show that the proposed methods require fewer computations than the benchmark method.•The reduction can be as large as one order of magnitude.•The source recovery performance of the proposed methods is slightly inferior to that of the benchmark. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.sigpro.2018.12.010 | Signal Processing |
Keywords | Field | DocType |
Beamforming,LCMV,Stochastic gradient,Kronecker product,Khatri–Rao product | Convergence (routing),Beamforming,Minimum-variance unbiased estimator,Mathematical optimization,Separable space,Array gain,Image resolution,Mathematics,Computational complexity theory | Journal |
Volume | ISSN | Citations |
158 | 0165-1684 | 1 |
PageRank | References | Authors |
0.37 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucas N. Ribeiro | 1 | 29 | 6.31 |
| André L. F. de Almeida | 2 | 371 | 48.73 |
| João C.M. Mota | 3 | 230 | 18.47 |