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Recursive blind estimation and equalization of time-varying channel based on parametric model

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1 Author(s)
Zheng Yuanjin ; Inst. of Microelectron., Singapore, Singapore

This paper proposes a new technique for recursive blind equalization of a time-varying IIR communication channel to obtain simultaneous estimation of channel impulse response and input symbols. The received sequences are represented as the output of a noisy non-Gaussian time-varying parametric model. A pseudo maximum likelihood estimation algorithm is proposed for the identification of channel parameters. The blind equalization is implemented by three algorithms: the recursive channel estimation algorithm, the Gaussian-mixture parameter estimation algorithm and the standard Kalman filtering algorithm. The equalization results are good even on low SNR received sequence and fast fading channel.

Published in:

Communication Systems, 2002. ICCS 2002. The 8th International Conference on  (Volume:1 )

Date of Conference:

25-28 Nov. 2002