DocumentCode :
3003835
Title :
New orthogonal pilot scheme for semi-blind channel estimation in MIMO Systems
Author :
Do, Dinh-Thuan ; Vu, Dinh-Thanh
Author_Institution :
Dept. of Commun. Eng., Ho Chi Minh City Univ. of Sci., Ho Chi Minh City, Vietnam
fYear :
2010
fDate :
11-12 June 2010
Firstpage :
235
Lastpage :
238
Abstract :
This paper presents a least square based semi-blind channel estimation using the new orthogonal pilot scheme for multiple-input multiple-output (MIMO) wireless communications. In practice, knowledge of the wireless unknown channel is often estimated by sending known training symbols to the receiver. We determine the optimal training sequence aiming to minimize the mean square error (MSE) of the channel estimator under a total transmit power constraint. On the other hand, in order to reduce the training overhead, this semi-blind algorithm only use fewer number of training symbols for decomposed channel matrices. Combining the advantage of semi-blind approach with designed pilot scheme addresses to improve the total bandwidth efficiency. In addition, the problem of power allocation between the pure data and the training symbols is also analyzed carefully. Experimental studies are carried out to study and validate the optimal performance of the proposed scheme.
Keywords :
MIMO communication; channel estimation; least squares approximations; mean square error methods; MIMO systems; decomposed channel matrices; least square based semiblind channel estimation; mean square error; multiple-input multiple-output wireless communications; optimal training sequence; orthogonal pilot scheme; training symbols; wireless unknown channel; Bandwidth; Channel estimation; Cities and towns; Fading; Knowledge engineering; Least squares approximation; MIMO; Matrix decomposition; Signal processing algorithms; Wireless communication; MIMO; semi-blind channel; training sequence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Information Technology (ICNIT), 2010 International Conference on
Conference_Location :
Manila
Print_ISBN :
978-1-4244-7579-7
Electronic_ISBN :
978-1-4244-7578-0
Type :
conf
DOI :
10.1109/ICNIT.2010.5508521
Filename :
5508521
Link To Document :
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