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An extended jointly Gaussian approach for iterative equalization Open Access


Other title
Iterative processing
Type of item
Degree grantor
University of Alberta
Author or creator
Jar e Silva, Marcel
Supervisor and department
Schlegel, Christian (Computing Science)
Examining committee member and department
Vorobyov, Sergiy (Electrical and Computer Engineering)
Fair, Ivan (Electrical and Computer Engineering)
Gaudet, Vincent (Electrical and Computer Engineering - Waterloo)
Fattouche, Michel (Electrical and Computer Engineering - Calgary)
Department of Electrical and Computer Engineering

Date accepted
Graduation date
Doctor of Philosophy
Degree level
A novel equalization scheme for signals transmitted over multipath Multiple-Input Multiple-Output (MIMO) channels, well-suited for iterative processing, is proposed in this work. This method, dubbed Extended Jointly Gaussian Approach (extended JGA), provides an interesting trade-off between complexity and performance for equalizers based on the JGA. It works by first performing a marginalization over a set of interfering terms, and then using a jointly Gaussian assumption on the remaining interference. It is shown that, with this extension, performance can be greatly improved for some scenarios at the expense of a manageable increase in computational complexity. In order to reduce the computational burden of the detection process, complexity saving techniques are discussed. For Single-Carrier Frequency-Division Multiple Access (SC-FDMA) schemes, the computational burden of the equalization process can be further reduced by using frequency-domain versions of the classical JGA, or the extended JGA proposed in this work. The potential of the extended method is assessed for non-iterative schemes via analysis of Signal to Interference-plus-Noise Ratios (SINRs) at the output of the equalizer. This figure of merit shows that a significant increase in throughput can be obtained by removing some terms from the interference pool, specially for MIMO channels. For iterative equalization, the convergence behaviour of systems applying equalizers based on both the classical and the extended JGA is analyzed by means of EXIT charts. Simulink models of uplink Long Term Evolution (LTE) communication systems, applying both classical and extended JGA equalizers, are used to produce Monte Carlo simulations. These simulations are used to confirm the performance gains indicated by SINR analysis and EXIT charts for realistic MIMO scenarios.
License granted by Marcel Jar e Silva ( on 2011-09-30T22:01:09Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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