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
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