Bias-Based Training for Iterative Channel Estimation and Data Decoding in Fast Fading Channels

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概要

• 論文の詳細を見る

• 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.

• （社）電子情報通信学会の論文
• 2011-07-01

著者

• Vehkapera Mikko

  Department of Electronics and Telecommunications, Norwegian University of Science and Technology

• Muller Ralf

  Department of Electronics and Telecommunications, Norwegian University of Science and Technology

• TAKEUCHI Keigo

  Department of Communication Engineering and Informatics, the University of Electro-Communications

• Muller Ralf

  Department Of Electronics And Telecommunications The Norwegian University Of Science And Technology

• Takeuchi Keigo

  Department Of Communication Engineering And Informatics The University Of Electro-communications

• Vehkapera Mikko

  Department Of Electronics And Telecommunications The Norwegian University Of Science And Technology

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• Bias-Based Training for Iterative Channel Estimation and Data Decoding in Fast Fading Channels
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