Name
Abstract | ||
|---|---|---|
This letter considers the robust spatial-filter design problem for multipath exploitation. The imprecise multipath return results in the output Signal-to-Interference-plus-Noise-Ratio (SINR) performance deterioration of traditional beamformers. We focus on enhancing the worst-case output SINR over the uncertain Direction-Of-Arrival (DOA) sector. To achieve robustness against covariance matrix errors caused by the desired signals contamination, we reconstruct the Interference-Noise Covariance Matrix (INCM) from Sample Covariance Matrix (SCM) based on the proposed residual noise components removal idea. Then, we cast the robust spatial-filter design problem as a max-min optimization problem, aiming at improving the worst-case output SINR. The filter vector is finally obtained via semi-definite relaxation followed by randomization synthesis. Simulation results demonstrate the effectiveness of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LCOMM.2022.3188754 | IEEE Communications Letters |
Keywords | DocType | Volume |
Robust spatial-filter design,multipath exploitation,worst-case SINR,max-min optimization | Journal | 26 |
Issue | ISSN | Citations |
9 | 1089-7798 | 0 |
PageRank | References | Authors |
0.34 | 17 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhuang Xie | 1 | 0 | 0.34 |
| Xu Zhou | 2 | 221 | 41.36 |
| Sudan Han | 3 | 0 | 0.34 |
| Jian Wang | 4 | 4 | 4.39 |
| Xiaotao Huang | 5 | 246 | 34.43 |