TR2005-158

Improved Min-Sum Decoding of LDPC Codes Using 2-Dimensional Normalization

    •  Zhang, J., Fossorier, M., Gu, D., Zhang, J., "Improved Min-Sum Decoding of LDPC Codes Using 2-Dimensional Normalization", IEEE Global Telecommunications Conference (GLOBECOM), November 2005, vol. 3, pp. 1187-1192.
      BibTeX TR2005-158 PDF
      • @inproceedings{Zhang2005nov2,
      • author = {Zhang, J. and Fossorier, M. and Gu, D. and Zhang, J.},
      • title = {Improved Min-Sum Decoding of LDPC Codes Using 2-Dimensional Normalization},
      • booktitle = {IEEE Global Telecommunications Conference (GLOBECOM)},
      • year = 2005,
      • volume = 3,
      • pages = {1187--1192},
      • month = nov,
      • url = {https://www.merl.com/publications/TR2005-158}
      • }
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  • Research Area:

    Communications

Abstract:

A two-dimensional post normalization scheme is proposed to improve the performance of conventional min-sum (MS) and normalized MS decoding of irregular low density parity check codes. An iterative procedure based on parallel differential algorithm is presented to obtain the optimal two-dimensional normalization factors. Both density evolution analysis and specific code simulation show that the proposed method provides a comparable performance as belief propagation decoding while requiring less complexity. Interestingly, the new method exhibits a lower error floor than that of belief propagation decoding in the high SNR region. With respect to standard MS and one-dimentional normalizated MS decodings, the two-dimensional normailzed MS offers a considerably better performance.

 

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