Kalman Filter Channel Estimation Based on Comb-Type Pilot in Time-Varying Channel

Author

Ling, Wang ; Ting, Liang

Author_Institution

Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha

fYear

2006

fDate

22-24 Sept. 2006

Firstpage

1

Lastpage

3

Abstract

In OFDM systems, time-varying channels destroy the orthogonality between sub-channels and cause interchannel interference (ICI). To compensate for this ICI, a Kalman filter based on comb-type pilot signal is proposed for channel estimation. The fast and frequency-selective fading channel is modeled as a one-order autoregressive (AR) process to reduce the complexity. Meanwhile, the result is refined using frequency-domain correlation and covariance matrix of estimation error in minimum mean-squared error sense. The simulation results show that this channel estimation method can achieve good performance

Keywords

Kalman filters; OFDM modulation; adjacent channel interference; autoregressive processes; channel estimation; covariance matrices; fading channels; least mean squares methods; time-varying channels; ICI; Kalman filter channel estimation; OFDM systems; comb-type pilot; covariance matrix of estimation; frequency-domain correlation; frequency-selective fading channel; interchannel interference; minimum mean-squared error sense; one-order autoregressive process; time-varying channel; Blind equalizers; Channel estimation; Covariance matrix; Educational institutions; Estimation error; Interchannel interference; Intersymbol interference; OFDM modulation; Streaming media; Time-varying channels;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on

Conference_Location

Wuhan

Print_ISBN

1-4244-0517-3

Type

conf

DOI

10.1109/WiCOM.2006.59

Filename

4149236