Channel estimation for OFDM with fast fading channels by modified Kalman filter

In OFDM systems, time-varying channels destroy the orthogonality between subchannels and cause interchannel interference (ICI) in conventional frequency-domain channel estimation approaches. To compensate for this ICI, we propose a new channel estimator for OFDM systems in a fast and frequency-selec...

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Bibliographic Details
Published in:IEEE transactions on consumer electronics 2004-05, Vol.50 (2), p.443-449
Main Authors: Han, Ki-Young, Lee, Sang-Wook, Lim, Jun-Seok, Sung, Koeng-Mo
Format: Article
Language:English
Subjects:
Channel estimation
Equalizers
Fading
Frequency estimation
Interchannel interference
OFDM
Parameter estimation
Regression analysis
Time domain analysis
Time-varying channels
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Summary:In OFDM systems, time-varying channels destroy the orthogonality between subchannels and cause interchannel interference (ICI) in conventional frequency-domain channel estimation approaches. To compensate for this ICI, we propose a new channel estimator for OFDM systems in a fast and frequency-selective Rayleigh fading channel. The proposed method is based on a new modified Kalman filter (MKF). The time-varying channel is modeled as an autoregressive (AR) process and the proposed MKF is used to estimate this AR parameter. In addition, to track the time-varying channel, a channel predictor using regression analysis and the minimum mean-squared error (MMSE) time-domain equalizer are also proposed. The simulation results show that the proposed channel estimator can effectively compensate for ICI.
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2004.1309406