Title | ||
---|---|---|
A low-complexity variable forgetting factor constant modulus RLS algorithm for blind 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 | DOI | Venue |
---|---|---|
2014 | 10.1016/j.sigpro.2014.06.003 | Signal Processing |
Keywords | Field | DocType |
Adaptive beamforming,Constrained constant modulus,Recursive least square,Variable forgetting factor | Forgetting factor,Mathematical optimization,Convexity,Adaptive beamformer,Control theory,Modulus,Mean squared error,Adaptive algorithm,Recursive least squares filter,Mathematics,Adaptive beamforming algorithm | Journal |
Volume | ISSN | Citations |
105 | 0165-1684 | 3 |
PageRank | References | Authors |
0.39 | 6 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Boya Qin | 1 | 19 | 3.38 |
Yunlong Cai | 2 | 238 | 25.39 |
B. Champagne | 3 | 542 | 74.73 |
Rodrigo C. de Lamare | 4 | 1461 | 179.59 |
Minjian Zhao | 5 | 118 | 27.18 |