Combined normalized and offset min-sum decoding over partial response channels

  • Authors:
  • Mahdi Shaghaghi;Yong Liang Guan;Kui Cai;Zhiliang Qin

  • Affiliations:
  • School of Electrical and Electronic Engineering, Nanyang Technological University;School of Electrical and Electronic Engineering, Nanyang Technological University;Data Storage Institute, National University of Singapore, Singapore;Data Storage Institute, National University of Singapore, Singapore

  • Venue:
  • ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
  • Year:
  • 2009

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Abstract

In this paper, the combined normalized and offset min-sum algorithm is proposed for efficient decoding of low-density parity-check (LDPC) codes in optical and magnetic storage systems. The proposed algorithm can be considered as a general case of the normalized and offset algorithms, and offers better BER performance compared to them. The performance improvement is presented for a partial response magnetic recording channel. Our simulations are based on an LDPC code from the class of finite-geometry LDPC codes. It will be shown that the proposed method has a performance very close to that of the belief propagation algorithm which has a much higher complexity.