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

fYear

2010

fDate

Aug. 28 2010-Sept. 3 2010

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Information Technology and Systems (ICWITS), 2010 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

978-1-4244-7091-4

Type

conf

DOI

10.1109/ICWITS.2010.5612265

Filename

5612265