Paper Info
Title
Joint model-order and step-size adaptation with convex combinations of reduced-rank adaptive filters
Abstract
In this work we propose schemes for joint model-order and step-size adaptation of reduced-rank adaptive filters. The proposed schemes employ reduced-rank adaptive filters in parallel operating with different orders and step sizes, which are exploited by convex combination strategies. The reduced-rank adaptive filters used in the proposed schemes are based on a joint and iterative decimation and interpolation (JIDF) method recently proposed. The unique feature of the JIDF method is that it can substantially reduce the number of coefficients for adaptation, thereby making feasible the use of multiple reduced-rank filters in parallel. We investigate the performance of the proposed schemes in an interference suppression application for CDMA systems. Simulation results show that the proposed schemes can significantly improve the performance of the existing reduced-rank adaptive filters based on the JIDF method.
Year
DOI
Venue
2010
10.1109/ISWCS.2010.5624521
Wireless Communication Systems
Keywords
Field
DocType
adaptive filters,code division multiple access,interference suppression,interpolation,iterative methods,CDMA system,JIDF method,convex combination strategy,interference suppression,interpolation,iterative decimation,joint model-order adaptation,reduced-rank adaptive filter,step-size adaptation
Mathematical optimization,Decimation,Computer science,Iterative method,Convex combination,Interpolation,Signal-to-noise ratio,Adaptive filter,Code division multiple access,Bit error rate
Conference
ISSN
ISBN
Citations 
2154-0217
978-1-4244-6315-2
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
de Lamare, R.C.165233.42
Vitor H. Nascimento216330.26