Title
Adaptive reduced-rank RLS algorithms based on joint iterative optimization of adaptive filters for space-time interference suppression
Abstract
This paper presents novel adaptive reduced-rank filtering algorithms based on joint iterative optimization of adaptive filters. The novel scheme consists of a joint iterative optimization of a bank of full-rank adaptive filters that constitute the projection matrix and an adaptive reduced-rank filter that operates at the output of the bank of filters. We describe least squares (LS) expressions for the design of the projection matrix and the reduced-rank filter and recursive least squares (RLS) adaptive algorithms for its computationally efficient implementation. Simulations for a space-time interference suppression in a CDMA system application show that the proposed scheme outperforms in convergence and tracking the state-of-the-art reduced-rank schemes at about the same complexity.
Year
DOI
Venue
2008
10.1109/ICASSP.2008.4518483
Las Vegas, NV
Keywords
Field
DocType
adaptive filters,channel bank filters,code division multiple access,filtering theory,interference suppression,least squares approximations,matrix algebra,radiofrequency interference,spread spectrum communication,CDMA system,adaptive reduced-rank RLS algorithms,filtering algorithms,full-rank adaptive filter banks,joint iterative optimization,projection matrix,recursive least squares adaptive algorithms,space-time interference suppression,Adaptive filters,RLS algorithms,iterative methods,space-time processing
Least squares,Mathematical optimization,Iterative method,Computer science,Control theory,Algorithm,Filter (signal processing),Projection (linear algebra),Adaptive filter,Kernel adaptive filter,Recursive least squares filter,Spread spectrum
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-1484-0
978-1-4244-1484-0
0
PageRank 
References 
Authors
0.34
7
4
Name
Order
Citations
PageRank
Rodrigo C. de Lamare11461179.59
Raimundo Sampaio Neto215525.30
de Lamare, R.C.365233.42
Sampaio-Neto, R.400.34