Title
Adaptive MIMO Decision Feedback Reduced-Rank Equalization Based on Joint Iterative Optimization of Adaptive RLS Estimation Algorithms
Abstract
This paper presents a novel adaptive reduced- rank multi-input-multi-output (MIMO) decision feedback equalization structure based on joint iterative optimization of adaptive estimators. The novel reduced-rank equalization structure consists of a joint iterative optimization of two equalization stages, namely, a projection matrix that performs dimensionality reduction and a reduced-rank estimator that retrieves the desired transmitted symbol. The proposed reduced- rank structure is followed by a decision feedback scheme that is responsible for cancelling the inter-antenna interference caused by the associated data streams. We describe least squares (LS) expressions for the design of the projection matrix and the reduced-rank estimator along with computationally efficient recursive least squares (RLS) adaptive estimation algorithms. Simulations for a MIMO equalization application show that the proposed scheme outperforms the state-of-the-art reduced-rank and the conventional estimation algorithms at about the same complexity.
Year
DOI
Venue
2008
10.1109/WCNC.2008.78
Las Vegas, NV
Keywords
Field
DocType
MIMO communication,adaptive estimation,equalisers,feedback,iterative methods,least squares approximations,matrix algebra,optimisation,MIMO equalization,adaptive MIMO decision feedback reduced-rank equalization,adaptive RLS estimation,adaptive estimators,associated data streams,decision feedback scheme,dimensionality reduction,interantenna interference,joint iterative optimization,least squares expressions,multiinput-multioutput decision feedback equalization structure,projection matrix,recursive least squares adaptive estimation,reduced-rank equalization structure,reduced-rank estimator,reduced-rank structure
Least squares,Mathematical optimization,Dimensionality reduction,Equalization (audio),Computer science,Iterative method,Algorithm,Projection (linear algebra),MIMO,Recursive least squares filter,Estimator
Conference
ISSN
ISBN
Citations 
1525-3511
978-1-4244-1997-5
2
PageRank 
References 
Authors
0.39
13
5
Name
Order
Citations
PageRank
Rodrigo C. de Lamare11461179.59
Are Hjørungnes295157.29
Raimundo Sampaio Neto315525.30
de Lamare, R.C.465233.42
Sampaio-Neto, R.520.39