Title :
Pilot-aided channel estimation method based on compressed sensing and Kalman filtering in OFDM systems
Author :
Wang, Donghao ; Niu, Kai ; He, Zhiqiang ; Tian, Baoyu
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fDate :
Aug. 28 2010-Sept. 3 2010
Abstract :
In this paper, by combining CS and TDKF, we propose a novel channel estimation scheme for OFDM time-variant channels. Compared with conventional TDKF method, our scheme is more practical as it need not to know the delays of multipath previously. Numerical results proved that compared with LS method, both the MSE and the BER performance are improved in our scheme.
Keywords :
Kalman filters; OFDM modulation; channel estimation; error statistics; least squares approximations; mean square error methods; multipath channels; time-domain analysis; time-varying channels; BER performance; CS; Kalman filtering; LS method; MSE; OFDM systems; OFDM time-variant channels; TDKF method; channel estimation scheme; compressed sensing; multipath delays; pilot-aided channel estimation method; Bit error rate; Channel estimation; Compressed sensing; Delay; Estimation; OFDM; Signal to noise ratio;
Conference_Titel :
Wireless Information Technology and Systems (ICWITS), 2010 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-7091-4
DOI :
10.1109/ICWITS.2010.5612265
