DocumentCode :
2217699
Title :
Reduced Complexity Blind Layered Space-Time Equalization for MIMO OFDM Systems
Author :
Sarperi, Luciano ; Zhu, Xu ; Nandi, Asoke K.
Author_Institution :
Dept. of Electr. Eng. & Electron., Liverpool Univ.
Volume :
1
fYear :
2005
fDate :
11-14 Sept. 2005
Firstpage :
236
Lastpage :
240
Abstract :
This paper proposes a reduced complexity blind layered space-time equalization (LSTE) for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM). Blind source separation (BSS) combined with a vertical Bell Laboratories layered space-time (V-BLAST) scheme is used in a small portion of subcarriers to perform blind signal detection and channel estimation iteratively. In the remaining subcarriers the channel state information (CSI) is obtained by interpolation using the previously acquired CSI, and signal detection is subsequently carried out with a V-BLAST scheme. Compared to previous work where BSS is used in each subcarrier, the proposed system obtains similar performance while significantly reducing the computational complexity and improving the robustness to the propagation of permutation errors. Also, the performance of the blind LSTE can approach the ideal case with perfect CSI, by using a moderate number of iterations
Keywords :
MIMO systems; OFDM modulation; blind equalisers; blind source separation; channel estimation; computational complexity; iterative methods; signal detection; BSS; MIMO OFDM systems; V-BLAST; blind layered space-time equalization; blind signal detection; blind source separation; channel estimation; channel state information; computational complexity; multiple-input multiple-output; orthogonal frequency division multiplexing; vertical Bell Laboratories layered space-time; Blind equalizers; Blind source separation; Channel estimation; Channel state information; Computational complexity; Interpolation; MIMO; OFDM; Signal detection; Source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2005. PIMRC 2005. IEEE 16th International Symposium on
Conference_Location :
Berlin
Print_ISBN :
9.7838007291e+012
Type :
conf
DOI :
10.1109/PIMRC.2005.1651434
Filename :
1651434
Link To Document :
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