EURASIP Journal on Wireless Communications and Networking - 3GPP LTE and LTE Advanced
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Steady-state Kalman filtering for channel estimation in OFDM systems utilizing SNR
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Low complexity downlink channel estimation for LTE systems
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
IEEE Transactions on Signal Processing
An efficient code dissemination mechanism for building automation and industrial control networks
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
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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.