Adaptive Channel Estimation for Turbo Decoding - Couverture souple

Guo, Yuqing

 
9783659543425: Adaptive Channel Estimation for Turbo Decoding

Synopsis

A new adaptive filter is proposed for the turbo decoding on Rayleigh fading channels with noisy channel estimates. In this book, by using the soft extrinsic information after each iteration of decoding, we re-estimate the channel and the minimum mean square error (m.m.s.e.) and further update the channel reliability factor and decision variables at each iteration. Simulations show that signal to noise (SNR) gain is improved by up to about 1dB at bit error probability of 3.5X10^4. Based on this research, it would be more interesting for further researchers to develop an adaptive filter that uses the extrinsic information of both systematic bits and parity bits.

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Présentation de l'éditeur

A new adaptive filter is proposed for the turbo decoding on Rayleigh fading channels with noisy channel estimates. In this book, by using the soft extrinsic information after each iteration of decoding, we re-estimate the channel and the minimum mean square error (m.m.s.e.) and further update the channel reliability factor and decision variables at each iteration. Simulations show that signal to noise (SNR) gain is improved by up to about 1dB at bit error probability of 3.5X10^4. Based on this research, it would be more interesting for further researchers to develop an adaptive filter that uses the extrinsic information of both systematic bits and parity bits.

Biographie de l'auteur

YuQing Guo, M.A.Sc: Studied Electrical and Computer Engineering at University of Windsor. Controls Specialist at Con-Syst-Int Group Inc., Windsor, Ontario

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