NDLI: Tracking Time-Varying Channel in Impulse Noise Environment Based on Kalman Filter

Content Provider	IEEE Xplore Digital Library
Author	Linhai Li Jinhuai Guo Hanying Hu Hongyi Yu
Copyright Year	2006
Description	Author affiliation: Dept. of Commun. Eng., Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou (Linhai Li; Jinhuai Guo; Hanying Hu; Hongyi Yu)
Abstract	A new algorithm for tracking time-varying fading channels in impulse noise environment is proposed in this paper, which uses the Kalman filter based on Clarke's model. However, the Kalman filter is known to be sensitive to impulse noise. In this paper, we investigate into how to restrain the adverse effect of impulse noise. The impulsive noise is modeled as a two-term Gaussian mixture distribution. The proposed channel tracking scheme is based on a state-space representation of the communication system and the prior information of the measurement noise. To reduce the complexity of the high-dimensional Kalman filter for channel estimation of the paths, we use a low-dimensional Kalman filter for the estimation of each path. Simulations show this algorithm is much less sensitive to impulse noise than the conventional algorithms, and is effective for the estimation of the fading channel when the performance of the channel estimation is presented in terms of the mean-square error (MSE).
Starting Page	1
Ending Page	4
File Size	4279369
Page Count	4
File Format	PDF
ISBN	1424408008
DOI	10.1109/ICCT.2006.341904
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time-varying channels Working environment noise Autoregressive processes Fading Channel estimation Power system modeling Gaussian noise Wireless communication Additive white noise Delay effects
Content Type	Text
Resource Type	Article

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