An enhanced algorithm of channel estimation based on extended Kalman Filter for mobile WiMAX

Author

Quang Nguyen Duc ; Lien Pham Hong ; Tra Luu Thanh

Author_Institution

Ho Chi Minh City Univ. of Technol., Ho Chi Minh City, Vietnam

fYear

2012

fDate

26-29 Nov. 2012

Firstpage

132

Lastpage

136

Abstract

In this paper, the channel estimation algorithms are studied for mobile WiMAX standard. The comb-type pilot is used for channel estimation system. Kalman estimator had good performance in slow fading environment. Extended Kalman Filter (EKF), an enhanced version of Kalman Filter, is analyzed and applied for channel estimation. Simulation showed that EKF had better performance than Kalman estimator in slow fading channel with low Doppler shift. Mean Squared Error (MSE) and Bit Error Rate (BER) performance of the proposed algorithm are verified by computer simulation.

Keywords

Doppler shift; Kalman filters; WiMax; channel estimation; error statistics; fading channels; mean square error methods; mobile radio; nonlinear filters; telecommunication standards; BER performance; EKF; Kalman estimator; MSE; bit error rate performance; channel estimation algorithms; channel estimation system; comb-type pilot; computer simulation; enhanced algorithm; extended Kalman filter; fading channel; low Doppler shift; mean squared error; mobile WiMAX standard; slow fading environment; Bit error rate; Channel estimation; Kalman filters; Mathematical model; Mobile communication; OFDM; WiMAX; Extened Kalman Filter; channel estimation; mobile WiMAX;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Information Sciences (ICCAIS), 2012 International Conference on

Conference_Location

Ho Chi Minh City

Print_ISBN

978-1-4673-0812-0

Type

conf

DOI

10.1109/ICCAIS.2012.6466572

Filename

6466572