Name
Title | ||
|---|---|---|
An Inner SOCP Approximate Algorithm for Robust Adaptive Beamforming for General-Rank Signal Model. |
Abstract | ||
|---|---|---|
The worst-case robust adaptive beamforming problem for general-rank signal model is considered. Its formulation is to maximize the worst-case signal-to-interference-plus-noise ratio, incorporating a positive semidefinite constraint on the actual covariance matrix of the desired signal. In the literature, semidefinite program (SDP) techniques, together with others, have been applied to approximatel... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2018.2871612 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Robustness,Array signal processing,Approximation algorithms,Covariance matrices,Signal processing algorithms,Adaptation models,Signal to noise ratio | Adaptive beamformer,Computer science,Positive-definite matrix,Algorithm,Relaxation technique,Covariance matrix | Journal |
Volume | Issue | ISSN |
25 | 11 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongwei Huang | 1 | 814 | 50.83 |
| sergiy a vorobyov | 2 | 1563 | 113.46 |