DocumentCode :
2428368
Title :
A closed-form semi-blind solution to MIMO-OFDM channel estimation
Author :
Wan, Feng ; Zhu, Wei-Ping ; Swamy, M.N.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC
fYear :
2008
fDate :
7-11 June 2008
Firstpage :
9
Lastpage :
13
Abstract :
Semi-blind channel estimation as a combination of the training-based or pilot-assisted method and a pure blind approach is considered to be a feasible solution for practical wireless systems due to its better estimation accuracy as well as spectral efficiency. However, in the existing semi-blind channel estimation techniques, the weighting factor employed to trade off the training-based and the blind criteria has not been appropriately determined. In this paper, a closed-form solution is developed for semi-blind channel estimation of MIMO-OFDM systems. An appealing scheme for the computation of the weighting factor is proposed, leading to an analytical expression for the weighting factor in terms the MSE (mean square error) of the training-based criterion and that of the blind part. A number of computer simulation-based experiments are conducted, confirming the effectiveness of the derived semi-blind solution.
Keywords :
MIMO communication; OFDM modulation; channel estimation; estimation theory; mean square error methods; MIMO-OFDM; MSE; channel estimation; mean square error; semi-blind solution; weighting factor; Channel estimation; Computer simulation; Convolution; Frequency estimation; Maximum likelihood estimation; Mean square error methods; OFDM; Receiving antennas; Signal processing; Statistics; MIMO-OFDM system; channel estimation; semi-blind;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
Type :
conf
DOI :
10.1109/ICNNSP.2008.4590299
Filename :
4590299
Link To Document :
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