Estimation of Fast Fading Channel Using Enhanced Algorithms in Impulse Noise Environment

Wang Dong-yu; Zhang Xin; Yang Da-cheng

doi:10.3724/SP.J.1146.2005.00907

Volume 29 Issue 2

Jan. 2011

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Wang Dong-yu, Zhang Xin, Yang Da-cheng. Estimation of Fast Fading Channel Using Enhanced Algorithms in Impulse Noise Environment[J]. Journal of Electronics & Information Technology, 2007, 29(2): 314-318. doi: 10.3724/SP.J.1146.2005.00907

Citation:

Wang Dong-yu, Zhang Xin, Yang Da-cheng. Estimation of Fast Fading Channel Using Enhanced Algorithms in Impulse Noise Environment[J]. Journal of Electronics & Information Technology, 2007, 29(2): 314-318. doi: 10.3724/SP.J.1146.2005.00907

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Estimation of Fast Fading Channel Using Enhanced Algorithms in Impulse Noise Environment

doi: 10.3724/SP.J.1146.2005.00907

Received Date: 2005-07-26
Rev Recd Date: 2006-01-13
Publish Date: 2007-02-19

Abstract

Abstract

This paper analyzes the parallel estimation method of the fast fading channel in the present of impulse noise. In wireless system, the fast fading channel is typically modeled as the AR (Auto-Regressive) process. LS (Least Square) algorithm and adaptive Kalman filter are used to estimate the AR parameters and the channel impulse response respectively. The performance of these algorithms, however, is very sensitive to the impulse noise. In this paper, the enhanced RLM algorithm and adaptive Kalman filter are proposed and employed to jointly estimate the AR parameters and the channel impulse response under the impulse noise. Simulation results show that the coupled estimator using the enhanced RLM algorithm and Kalman filter has better convergence ability than conventional algorithms.

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References(1)

References

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