J4 ›› 2013, Vol. 40 ›› Issue (6): 111-115.doi: 10.3969/j.issn.1001-2400.2013.06.020

• Original Articles • Previous Articles     Next Articles

Selection algorithm of finite alphabet iterative decoders  for LDPC codes

GUO Junjun;MU Jianjun   

  1. (School of Computer Science and Technology, Xidian Univ., Xi'an  710071, China)
  • Received:2012-08-30 Online:2013-12-20 Published:2014-01-10
  • Contact: GUO Junjun E-mail:eyebyeye@126.com

Abstract:

An efficient selection algorithm for finite alphabet iterative decoders (FAIDs) is presented for LDPC (low-density parity-check) codes over the BSC (binary symmetric channel). By taking advantage of the characteristics of decoding rules for variable nodes on Tanner graphical presentations, a set of candidate FAIDs is constructed for some typical LDPC codes. Based on the evaluation of decoding performance for the received channel messages with various additional bias noise inputs derived from trapping sets, the statistical optimal FAID can be rapidly selected from the candidate FAIDs. Finally, simulation results show the validity of the proposed algorithm.

Key words: finite alphabet iterative decoder, Tanner graph, trapping set, low density parity check codes


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