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A new adaptive channel estimator for turbo decoding in Rayleigh fading channels

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2 Author(s)
Wee-Peng Ang ; Sch. of Eng., Nanyang Polytech., Singapore, Singapore ; Hail Krishna Garg

A new adaptive channel estimation filter based on the variable step-size LMS algorithm is shown to perform close to the optimum Wiener filter without assuming a-priori knowledge of the channel fading rate. It is unlike other fixed characteristics filters such as the equal weight moving average and FIR filters designed using the windowing method. Under a non-stationary Rayleigh fading channel where the fading rate varies, the proposed adaptive filter is also able to track the time-varying channel, achieving better performance than the fixed characteristics filters.

Published in:

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

Date of Conference:

25-28 Nov. 2002