Paper Info
Title
Adaptive Reduced-Rank Filtering using a Projection Operator Based on Joint Iterative Optimization of Adaptive Filters for CDMA Interference Suppression
Abstract
This paper proposes a novel adaptive reduced-rank filtering scheme based on the joint iterative optimization of adaptive filters. The proposed scheme consists of a joint iterative optimization of a bank of full-rank adaptive filters that constitutes the projection matrix and an adaptive reduced-rank filter that operates at the output of the bank of filters. We describe minimum mean-squared error (MMSE) expressions for the design of the projection matrix and the reduced-rank filter and simple least-mean squares (LMS) adaptive algorithms for its computationally efficient implementation. Simulation results for a CDMA interference suppression application reveals that the proposed scheme significantly outperforms the state-of-the-art reduced- rank schemes, while requiring a significantly lower computational complexity.
Year
DOI
Venue
2007
10.1109/ICDSP.2007.4288514
Cardiff
Keywords
Field
DocType
adaptive filters,code division multiple access,interference suppression,least mean squares methods,cdma,computational complexity,joint iterative optimization,least-mean squares algorithms,minimum mean-squared error,projection matrix,projection operator,reduced-rank filtering,iterative methods,filtering,filter bank,least mean square,least squares approximation,computational modeling,minimum mean squared error,algorithm design and analysis,minimum mean square error,adaptive filter,iteration method
Iterative method,Computer science,Control theory,Filter bank,Minimum mean square error,Filter (signal processing),Projection (linear algebra),Adaptive filter,Kernel adaptive filter,Adaptive algorithm
Conference
ISBN
Citations 
PageRank 
1-4244-0882-2
0
0.34
References 
Authors
8
2
Name
Order
Citations
PageRank
de Lamare, R.C.165233.42
R. Sampaio-Neto200.34