DocumentCode :
447166
Title :
Semi-blind channel estimation for MIMO OFDM system in fading channel
Author :
Hao, Xuefei ; Chen, Jie
Author_Institution :
Microelectronics Inst., Chinese Acad. of Sci., Beijing, China
Volume :
1
fYear :
2005
fDate :
12-14 Oct. 2005
Firstpage :
503
Lastpage :
506
Abstract :
This paper presented a semi-blind channel estimation algorithm for MIMO-OFDM system which had 2 transmitting and 2 receiving antennas. This scheme used least square to estimate the initial channel with the received training symbol in the frequency domain. But the precondition is assumed that the channel characteristic is identical between the two symbol periods. However, the channel characteristic is always changing in fading channel, which make the above channel estimation is not veracious. So the vector Kalman filter was used to adjust the initial estimated channel error. It is shown that the performance of system is improved highly than before. On the other hand, the complexity of this method is lower than the least square algorithm in timing domain.
Keywords :
Kalman filters; MIMO systems; OFDM modulation; antenna arrays; channel estimation; fading channels; least mean squares methods; receiving antennas; transmitting antennas; Kalman filter; MIMO OFDM system; fading channel; least square algorithm; receiving antennas; semiblind channel estimation algorithm; transmitting antennas; Channel estimation; Fading; Frequency domain analysis; Frequency estimation; Least squares approximation; Least squares methods; MIMO; OFDM; Receiving antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
Print_ISBN :
0-7803-9538-7
Type :
conf
DOI :
10.1109/ISCIT.2005.1566903
Filename :
1566903
Link To Document :
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