Paper Info
Title
Reduced-rank BEACON algorithm based on joint iterative optimization of adaptive filters
Abstract
This paper presents a novel reduced-rank implementation of the set-membership (SM) Bounding Ellipsoid Adaptive Constrained Least Squares (BEACON) algorithm using the method of joint iterative optimization (JIO) of adaptive filters. The sparsely updating estimation error SM framework is applied to the adaption of the rank reduction matrix and the symbol estimation filter that operates in the reduced-rank signal subspace. A derivation of the scheme, based on least squares (LS) optimization, is given along with an intuitive geometric interpretation of the update procedure. The proposed JIO-BEACON algorithm along with other established reduced-rank algorithms are applied to interference suppression in a multiuser DS-CDMA system. The JIO-BEACON algorithm is shown to exceed the performance of the standard LS JIO and other existing algorithms in terms of convergence and steady state error whilst achieving significant complexity savings.
Year
DOI
Venue
2010
10.1109/ISCAS.2010.5538011
Circuits and Systems
Keywords
Field
DocType
adaptive filters,code division multiple access,iterative methods,least squares approximations,optimisation,space division multiple access,adaptive filters,bounding ellipsoid adaptive constrained least squares,joint iterative optimization,multiuser DS-CDMA system,reduced-rank BEACON algorithm,set-membership,steady state and error
Convergence (routing),Least squares,Ellipsoid,Mathematical optimization,Iterative method,Computer science,Control theory,Adaptive system,Algorithm,Adaptive filter,Signal subspace,Bit error rate
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-4244-5309-2
0
PageRank 
References 
Authors
0.34
10
2
Name
Order
Citations
PageRank
Patrick Clarke100.34
de Lamare, R.C.265233.42