Name
Title | ||
|---|---|---|
Low-Complexity Variable Forgetting Factor Constrained Constant Modulus RLS Algorithm for Adaptive Beamforming. |
Abstract | ||
|---|---|---|
In this paper, a recursive least squares (RLS) based blind adaptive beamforming algorithm that features a new variable forgetting factor (VFF) mechanism is presented. The beamformer is designed according to the constrained constant modulus (CCM) criterion, and the proposed adaptive algorithm operates in the generalized sidelobe canceler (GSC) structure. A detailed study of its operating properties is carried out, including a convexity analysis and a mean squared error (MSE) analysis of its steady-state behavior. The results of numerical experiments demonstrate that the proposed VFF mechanism achieves a superior learning and tracking performance compared to other VFF mechanisms. |
Year | Venue | Field |
|---|---|---|
2014 | arXiv: Other Computer Science | Forgetting factor,Convexity,Adaptive beamformer,Control theory,Computer science,Modulus,Mean squared error,Electronic engineering,Adaptive algorithm,Recursive least squares filter,Adaptive beamforming algorithm |
DocType | Volume | Citations |
Journal | abs/1406.6998 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boya Qin | 1 | 19 | 3.38 |
| Yunlong Cai | 2 | 238 | 25.39 |
| Benoît Champagne | 3 | 0 | 0.34 |
| Rodrigo C. de Lamare | 4 | 1461 | 179.59 |
| Minjian Zhao | 5 | 118 | 27.18 |