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Analysis of A Simplified Channel Estimator for MIMO Frequency Selective Channels

Xiao, P and Sellathurai, M (2008) Analysis of A Simplified Channel Estimator for MIMO Frequency Selective Channels In: IEEE VTC'2008 Spring, 2008-05-11 - 2008-05-14, Singapore.

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Abstract

Channel estimation for multiple-input, multiple-output (MIMO) systems is studied in this paper. In particular, we present a simplified MIMO channel estimator based on orthogonal design. The performance of the proposed scheme is theoretically analyzed and compared to that of the optimum maximum likelihood estimator. The effect of non-orthogonality of the training sequences is investigated. Some modifications of the proposed estimator with sample stacking and averaging are introduced to further improve the estimation performance. This simplified scheme is evaluated in the context of the WiMAX MIMO systems in terms of mean square error for the channel estimation and bit error rate for the space-time turbo equalization. Both analytical and simulation results indicate that despite of its low computational complexity, this simplified estimator leads to minimum variance unbiased estimation and achieves identical performance to that of the maximum likelihood estimator.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Xiao, PUNSPECIFIEDUNSPECIFIED
Sellathurai, MUNSPECIFIEDUNSPECIFIED
Date : 20 May 2008
Identification Number : 10.1109/VETECS.2008.212
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Additional Information : © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 27 Sep 2013 16:09
Last Modified : 27 Sep 2013 16:09
URI: http://epubs.surrey.ac.uk/id/eprint/799003

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