Name
Title | ||
|---|---|---|
Adaptive blind widely linear CCM reduced-rank beamforming for large-scale antenna arrays |
Abstract | ||
|---|---|---|
In this paper, we propose an adaptive blind reduced-rank beamforming algorithm based on Krylov-subspace (KS) techniques and widely linear (WL) processing for non-circular signals. In contrast to the conventional WL processing approach, the properties of the augmented covariance matrix are exploited to derive a new structured WL beamforming scheme based on the generalized sidelobe canceler (GSC) structure. We develop a recursive least square (RLS) algorithm according to the constrained constant modulus (CCM) criterion to update the reduced-rank beamformer so obtained. A detailed signal-to-interference-plus noise ratio (SINR) analysis and a computational complexity analysis are carried out. Simulation results show that the proposed algorithm outperforms its linear counterpart and the full-rank algorithms, achieving the best convergence performance among all the analyzed methods with a relatively low complexity.1 |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICDSP.2015.7251320 | 2015 IEEE International Conference on Digital Signal Processing (DSP) |
Keywords | Field | DocType |
Widely linear,Krylov-subspace,beamforming,constrained constant modulus | Krylov subspace,Convergence (routing),Least squares,Computer science,Control theory,Beamforming algorithm,Artificial intelligence,Recursion,Beamforming,Pattern recognition,Algorithm,Covariance matrix,Computational complexity theory | Conference |
ISSN | Citations | PageRank |
1546-1874 | 1 | 0.35 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaomin Wu | 1 | 3 | 1.06 |
| Yunlong Cai | 2 | 86 | 11.26 |
| Rodrigo C. de Lamare | 3 | 1461 | 179.59 |
| Benoît Champagne | 4 | 19 | 1.89 |
| Minjian Zhao | 5 | 118 | 27.18 |