DocumentCode :
3074265
Title :
Joint blind channel estimation for MIMO OFDM systems via nonredundant linear precoding
Author :
Ghadrdan, S. ; Salari, S. ; Ahmadian, M.
Author_Institution :
Fac. of Electr. & Comput. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
fYear :
2011
fDate :
29-31 March 2011
Firstpage :
59
Lastpage :
63
Abstract :
The problem of blind channel estimation in Multiple-Input-Multiple-Output (MIMO) Orthogonal Frequency-Division Multiplexing (OFDM) systems is investigated in this study, assuming that the transmitted symbols are independent and identically distributed. In particular, by utilizing a generalized linear non-redundant precoder, a simple blind channel estimation technique for MIMO-OFDM systems is developed. A novel contribution is that instead of using only one column of the signal covariance matrix, as done in previous works, proposed estimator jointly considers all the information contained in the signal covariance matrix. Comparisons show that the proposed approach outperforms the existing estimators. It is also noticed that the proposed algorithm is much more computationally efficient. Consequently, the proposed method is a promising blind channel estimation candidate for MIMO-OFDM systems.
Keywords :
MIMO communication; OFDM modulation; blind source separation; channel estimation; linear codes; precoding; MIMO OFDM systems; joint blind channel estimation; nonredundant linear precoding; signal covariance matrix; transmitted symbols; Blind equalizers; Channel estimation; Covariance matrix; Joints; OFDM; Receiving antennas; Signal to noise ratio; Blind channel estimation; Multi-input Multi-output (MIMO) systems; Normalized mean square error (NMSE); Orthogonal frequency-division multiplexing (OFDM); Precoding; Sub-Space method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technology (ICCIT), 2011 International Conference on
Conference_Location :
Aqaba
Print_ISBN :
978-1-4577-0401-7
Type :
conf
DOI :
10.1109/ICCITECHNOL.2011.5762694
Filename :
5762694
Link To Document :
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