IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Regular Section
Bias-Based Training for Iterative Channel Estimation and Data Decoding in Fast Fading Channels
Keigo TAKEUCHIRalf R. MÜLLERMikko VEHKAPERÄ
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2011 Volume E94.B Issue 7 Pages 2161-2165

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Abstract

A novel signaling scheme is proposed for iterative channel estimation and data decoding in fast fading channels. The basic idea is to bias the occurrence probability of transmitted symbols. A priori information about the bias is utilized for channel estimation. The bias-based scheme is constructed as a serially concatenated code, in which a convolutional code and a biased nonlinear block code are used as the outer and inner codes, respectively. This construction allows the receiver to estimate channel state information (CSI) efficiently. The proposed scheme is numerically shown to outperform conventional pilot-based schemes in terms of spectral efficiency for moderately fast fading channels.

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© 2011 The Institute of Electronics, Information and Communication Engineers
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