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| Estimation of Fast Fading Channel Using Enhanced Algorithms in Impulse Noise Environment |
| Wang Dong-yu; Zhang Xin; Yang Da-cheng |
| BUPT-Qualcomm Research Center, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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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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Received: 26 July 2005
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2007, Vol. 29 
