Title
An improved adaptive constrained constant modulus reduced-rank algorithm with sparse updates for beamforming
Abstract
Abstract In this work, we propose an adaptive set-membership (SM) reduced-rank filtering algorithm using the constrained constant modulus criterion for beamforming. We develop a stochastic gradient type algorithm based on the concept of SM techniques for adaptive beamforming. The filter weights are updated only if the bounded constraint cannot be satisfied. We also propose a scheme of time-varying bound and incorporate parameter dependence to characterize the environment for improving the tracking performance. A detailed analysis of the proposed algorithm in terms of computational complexity and stability is carried out. Simulation results verify the analytical results and show that the proposed adaptive SM reduced-rank beamforming algorithms with a dynamic bound achieve superior performance to previously reported methods at a reduced update rate.
Year
DOI
Venue
2016
10.1007/s11045-014-0304-5
Multidimensional Systems and Signal Processing
Keywords
Field
DocType
Adaptive beamforming,Antenna array,Reduced-rank algorithm,Set-membership filtering
Beamforming,Mathematical optimization,Adaptive beamformer,Antenna array,Modulus,Beamforming algorithm,Algorithm,Filter (signal processing),Mathematics,Computational complexity theory,Bounded function
Journal
Volume
Issue
ISSN
27
2
1573-0824
Citations 
PageRank 
References 
2
0.44
41
Authors
3
Name
Order
Citations
PageRank
Yunlong Cai18611.26
Boya Qin2193.38
Haijian Zhang314216.78