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

• TAKEUCHI Keigo

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

• MÜLLER Ralf R.

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

• VEHKAPERÄ Mikko

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

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.

Journal

• IEICE Transactions on Communications

  IEICE Transactions on Communications E94-B (7), 2161-2165, 2011

  The Institute of Electronics, Information and Communication Engineers

Keywords

• bias-based channel estimation
• iterative decoding
• fast fading channels
• belief propagation

Details

• CRID: 1390282679352164992
• NII Article ID: 10029804004
• NII Book ID: AA10826261
• DOI: 10.1587/transcom.e94.b.2161
• ISSN: 17451345
• ISSN: 09168516
• Web Site: http://www.jstage.jst.go.jp/article/transcom/E94.B/7/E94.B_7_2161/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed