Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24544
Title: Detection for MIMO systems with imprecise channel knowledge
Authors: Wu, Y
Kung, SY
Keywords: MIMO systems
Channel estimation
Error statistics
Interference suppression
Iterative methods
Matrix algebra
Optimisation
Signal detection
Issue Date: 2003
Publisher: IEEE
Source: 2003 International Conference on Multimedia and Expo, 2003 : ICME '03 : proceedings :6-9 July 2003, v. 2, p. II601-II604 How to cite?
Abstract: In this work, we investigate the signal detection for MIMO systems with imprecise channel knowledge. The optimal detector is one which best matches the "total" observation matrix and a "total" signal matrix which has a finite alphabet constraint and a Sylvester structure constraint. An iterative local optimization with interference cancellation (LOIC) algorithm is proposed to achieve low complexity and exploit the finite alphabet constraint. Simulation results show that our proposed algorithms can detect the signals with BER close to the case of perfect channel knowledge, if a rough channel estimate is available initially.
URI: http://hdl.handle.net/10397/24544
ISBN: 0-7803-7965-9
DOI: 10.1109/ICME.2003.1221688
Appears in Collections:Conference Paper

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