DocumentCode :
3501805
Title :
Analysis of A Simplified Channel Estimator for MIMO Frequency Selective Channels
Author :
Xiao, Pei ; Sellathurai, Mathini
Author_Institution :
Inst. of Electron., Commun. & Inf. Technol., Queen´´s Univ. Belfast, Belfast
fYear :
2008
fDate :
11-14 May 2008
Firstpage :
988
Lastpage :
993
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.
Keywords :
MIMO communication; WiMax; channel coding; channel estimation; equalisers; error statistics; maximum likelihood estimation; mean square error methods; space-time codes; turbo codes; wireless channels; WiMax MIMO frequency selective channel estimator; bit error rate; computational complexity; mean square error; minimum variance unbiased estimation; multiple input multiple output system; optimum maximum likelihood estimator; orthogonal design; space-time turbo equalization; Analysis of variance; Bit error rate; Channel estimation; Frequency estimation; MIMO; Maximum likelihood estimation; Mean square error methods; Performance analysis; Stacking; WiMAX;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
Conference_Location :
Singapore
ISSN :
1550-2252
Print_ISBN :
978-1-4244-1644-8
Electronic_ISBN :
1550-2252
Type :
conf
DOI :
10.1109/VETECS.2008.212
Filename :
4525768
Link To Document :
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