Adaptive conjugate gradient DFEs for wideband MIMO systems using galerkin projections

Vasileios Kekatos; Aris S. Lalos; Kostas Berberidis

doi:10.1109/VETECF.2007.113

Adaptive conjugate gradient DFEs for wideband MIMO systems using galerkin projections

Vasileios Kekatos, Aris S. Lalos, Kostas Berberidis

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Three new adaptive equalization algorithms for wireless systems operating over frequency selective MIMO channels are proposed. The problem of the MIMO DFE design is formulated as a set of linear equations with multiple right-hand sides (RHS) evolving in time. By applying an adaptive modified conjugate gradient algorithm, originally proposed for a single linear system, to the problem at hand, we arrive at an equalizer of performance identical to RLS, numerically robust, but of higher computational cost. To reduce its complexity, two updating strategies of the equalizer filters are derived based on Galerkin projection in time and space respectively. The two alternative schemes exhibit a complexity lower than RLS while offering slightly inferior convergence properties.

Original language	English (US)
Title of host publication	2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
Pages	486-490
Number of pages	5
DOIs	https://doi.org/10.1109/VETECF.2007.113
State	Published - Dec 1 2007
Event	2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall - Baltimore, MD, United States Duration: Sep 30 2007 → Oct 3 2007

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Other

Other	2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
Country/Territory	United States
City	Baltimore, MD
Period	9/30/07 → 10/3/07

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10.1109/VETECF.2007.113

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Kekatos, V, Lalos, AS & Berberidis, K 2007, Adaptive conjugate gradient DFEs for wideband MIMO systems using galerkin projections. in 2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall., 4349762, IEEE Vehicular Technology Conference, pp. 486-490, 2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall, Baltimore, MD, United States, 9/30/07. https://doi.org/10.1109/VETECF.2007.113

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abstract = "Three new adaptive equalization algorithms for wireless systems operating over frequency selective MIMO channels are proposed. The problem of the MIMO DFE design is formulated as a set of linear equations with multiple right-hand sides (RHS) evolving in time. By applying an adaptive modified conjugate gradient algorithm, originally proposed for a single linear system, to the problem at hand, we arrive at an equalizer of performance identical to RLS, numerically robust, but of higher computational cost. To reduce its complexity, two updating strategies of the equalizer filters are derived based on Galerkin projection in time and space respectively. The two alternative schemes exhibit a complexity lower than RLS while offering slightly inferior convergence properties.",

author = "Vasileios Kekatos and Lalos, {Aris S.} and Kostas Berberidis",

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N2 - Three new adaptive equalization algorithms for wireless systems operating over frequency selective MIMO channels are proposed. The problem of the MIMO DFE design is formulated as a set of linear equations with multiple right-hand sides (RHS) evolving in time. By applying an adaptive modified conjugate gradient algorithm, originally proposed for a single linear system, to the problem at hand, we arrive at an equalizer of performance identical to RLS, numerically robust, but of higher computational cost. To reduce its complexity, two updating strategies of the equalizer filters are derived based on Galerkin projection in time and space respectively. The two alternative schemes exhibit a complexity lower than RLS while offering slightly inferior convergence properties.

AB - Three new adaptive equalization algorithms for wireless systems operating over frequency selective MIMO channels are proposed. The problem of the MIMO DFE design is formulated as a set of linear equations with multiple right-hand sides (RHS) evolving in time. By applying an adaptive modified conjugate gradient algorithm, originally proposed for a single linear system, to the problem at hand, we arrive at an equalizer of performance identical to RLS, numerically robust, but of higher computational cost. To reduce its complexity, two updating strategies of the equalizer filters are derived based on Galerkin projection in time and space respectively. The two alternative schemes exhibit a complexity lower than RLS while offering slightly inferior convergence properties.

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Adaptive conjugate gradient DFEs for wideband MIMO systems using galerkin projections

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