DocumentCode
518786
Title
Orthogonal procrustes-based semi-blind channel estimation for MIMO-OFDM systems
Author
Feng, Hu ; Jianping, Li ; Gang, Yang
Author_Institution
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
Volume
4
fYear
2010
fDate
27-29 March 2010
Firstpage
226
Lastpage
230
Abstract
This paper introduces a novel semi-blind channel estimation algorithm based on Orthogonal Procrustes (OP) approach for Multiple Input Multiple Output (MIMO) systems using Orthogonal Frequency Division Multiplexing (OFDM) modulation. The presented joint estimator is based on decomposition of channel matrix H as a whitening matrix R and a unitary rotation matrix Q. The whitening matrix R can be estimated blindly based on the eigenvalue decomposition (EVD) of the received signal correlation matrix, while Q has to be fed by using the properties of the constrained OP estimator for an orthogonal pilot sequence. The estimation gain is obtained by the power method with low complexity as it offers such optimum rotation matrices which are parameterized a fewer number of parameters. Various numerical examples are conducted to support the algorithms and analysis, and they demonstrate improved performance up to 3-5 dB compared to exclusively training-based estimation.
Keywords
MIMO communication; OFDM modulation; channel estimation; MIMO-OFDM systems; eigenvalue decomposition; multiple input multiple output systems; orthogonal frequency division multiplexing; orthogonal procrustes-based semi-blind channel estimation; semi-blind channel estimation algorithm; signal correlation matrix; training-based estimation; unitary rotation matrix; Channel estimation; Channel state information; Computational complexity; Convergence; MIMO; Matrix decomposition; OFDM; Receiving antennas; Relays; Statistics; EVD; MIMO-OFDM; OP; semi-blind channel estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5486967
Filename
5486967
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