Title :
MIMO-OFDM Channel Estimation Based on Kalman Filtering
Author :
Tang Tao ; Zhou Shengyuan
Author_Institution :
Sch. of Inf. & Commun., Guilin Univ. of Electron. Technol., Guilin, China
Abstract :
A Kalman filtering channel estimation method is given in this paper. By using training sequences of MIMO-OFDM system to get channel response at receiver, our method estimates channel state information and tracks the variation of the channel. Through Jakes channel transmission model , simulation figures represent that this method gets a better result than traditional channel estimation methods.
Keywords :
Kalman filters; MIMO communication; OFDM modulation; channel estimation; radio receivers; Jakes channel transmission model; Kalman filtering; MIMO-OFDM channel estimation; channel response; channel state information; Blind equalizers; Channel estimation; Discrete Fourier transforms; Kalman filters; MIMO; OFDM;
Conference_Titel :
Internet Technology and Applications (iTAP), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7253-6
DOI :
10.1109/ITAP.2011.6006422
