DocumentCode :
3502174
Title :
A Novel Blind Channel Estimation Algorithm for a MIMO System
Author :
Liu, Xia ; Bialkowski, Marek E. ; Lu, Shiyang ; Hui, Hon Tat
Author_Institution :
Sch. of ITEE, Univ. of Queensland, Brisbane, QLD
fYear :
2008
fDate :
11-14 May 2008
Firstpage :
1113
Lastpage :
1117
Abstract :
In this paper, a novel blind channel estimation algorithm for a multiple input multiple output (MIMO) system is described. This algorithm is easier to implement than the previously reported blind estimation algorithms because the channel state information (CSI) is recovered without performing complex mathematical operations such as singular value decomposition (SVD) or eigenvalue decomposition (EVD). The ambiguity associated with the proposed blind estimation is reduced to the phase ambiguity. The proposed channel estimation algorithm is accompanied by new block coding scheme. Using this coding scheme, a block encoder is only required at the transmitter. The proposed scheme is spectral efficient, as it offers the full coding rate when the numbers of transmitting and receiving antennas are equal. The validity of the proposed channel estimation algorithm and coding scheme is verified via computer simulations.
Keywords :
MIMO communication; antenna arrays; block codes; channel coding; channel estimation; receiving antennas; transmitting antennas; MIMO system; blind channel estimation algorithm; block coding scheme; block encoder; channel state information; multiple input multiple output system; receiving antennas; square-root technique; transmitting antennas; Blind equalizers; Block codes; Channel estimation; Channel state information; Eigenvalues and eigenfunctions; MIMO; Phase estimation; Singular value decomposition; State estimation; Transmitters;
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.2008.236
Filename :
4525792
Link To Document :
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