Node Selection for Belief Propagation Based Channel Equalization

• HAGIWARA Mitsuyoshi

  Graduate School of Information Science and Technology, Hokkaido University

• NISHIMURA Toshihiko

  Graduate School of Information Science and Technology, Hokkaido University

• OHGANE Takeo

  Graduate School of Information Science and Technology, Hokkaido University

• OGAWA Yasutaka

  Graduate School of Information Science and Technology, Hokkaido University

抄録

Recently, much progress has been made in the study of belief propagation (BP) based signal detection with large-scale factor graphs. When we apply the BP algorithm to equalization in a SISO multipath channel, the corresponding factor graph has many short loops and patterns in an edge connection/strength. Thus, proper convergence may not be achieved. In general, the log-likelihood ratio (LLR) oscillates in ill-converged cases. Therefore, LLR oscillation avoidance is important for BP-based equalization. In this paper, we propose applying node selection (NS) to prevent the LLR from oscillating. The NS extends the loop length virtually by a serial LLR update. Thus, some performance improvement is expected. Simulation results show that the error floor is significantly reduced by NS in the uncoded case and that the NS works very well in the coded case.

収録刊行物

• IEICE Transactions on Communications

  IEICE Transactions on Communications E100.B (8), 1285-1292, 2017

  一般社団法人 電子情報通信学会

キーワード

• belief propagation algorithm
• log-likelihood ratio
• interference canceller
• equalization

詳細情報

• CRID: 1390001204374265472
• NII論文ID: 130005876010
• DOI: 10.1587/transcom.2016fgp0015
• ISSN: 17451345
• ISSN: 09168516
• Web Site: https://www.jstage.jst.go.jp/article/transcom/E100.B/8/E100.B_2016FGP0015/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可