[1] Song Xiaojin, Song Tiecheng, Shen Lianfeng, Lu Su, et al. Improved Kalman filter channel estimation methodfor OFDM systems in fast time-varying environment [J]. Journal of Southeast University (English Edition), 2005, 21 (4): 389-392. [doi:10.3969/j.issn.1003-7985.2005.04.003]

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Improved Kalman filter channel estimation methodfor OFDM systems in fast time-varying environment()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

21

Issue:

2005 4

Page:

389-392

Research Field:

Information and Communication Engineering

Publishing date:

2005-12-30

Info

Title:

Improved Kalman filter channel estimation methodfor OFDM systems in fast time-varying environment

Author(s):

Song Xiaojin;  Song Tiecheng;  Shen Lianfeng;  Lu Su

National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Keywords:

channel estimation;  orthogonal frequency division multiplexing(OFDM);  least square(LS);  minimum mean-square-error(MMSE)

PACS:

TN914.3

DOI:

10.3969/j.issn.1003-7985.2005.04.003

Abstract:

Under analyzing several characteristics of frequency-selective fast fading channels, such as large Doppler spread and multi-path interference, a low-dimensional Kalman filter method based on pilot signals is presented for the channel estimation of orthogonal frequency division multiplexing(OFDM)systems.For simplicity, a one-dimensional autoregressive(AR)process is used to model the time-varying channel, and the least square(LS)algorithm based on pilot signals is adopted to track the time-varying channel fading factor a.The low-dimensional Kalman filter estimator greatly reduces the complexity of the high-dimensional Kalman filter.To utilize the relationship of fading channel in frequency domain, a minimum mean-square-error(MMSE)combiner is used to refine the estimation results.The simulation results in the frequency band of 5.5 GHz show that the proposed method achieves a good symbol error rate(SER)performance close to the theoretical bound of ideal channel estimation.

References:

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[8] Chen Wei, Zhang Ruifeng.Kalman-filter channel estimator for OFDM systems in time and frequency-selective fading environment [A].In:Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing [C].Montreal, Canada, 2004.377-380.
[9] Han Ki-Young, Lee Sang-Wook, Lim Jun-Seok, et al.Channel estimation for OFDM with fast fading channels by modified Kalman filter [J].IEEE Transactions on Consumer Electronics, 2004, 50(2):443-449.
[10] Hassan M A S, Sharif B S, Woo W L, et al.Semiblind estimation of time varying STFBC-OFDM channels using Kalman filter and CMA [A].In:Proceedings of ISCC’04 [C].Alexandria, Egypt, 2004.594-599.
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Memo

Memo:

Biographies: Song Xiaojin(1981—), female, graduate;Shen Lianfeng(corresponding author), male, professor, lfshen@seu.edu.cn.

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