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文章基本信息

  • 标题:Min-Sum Algorithm with Maximum Average Mutual Information Quantization
  • 本地全文:下载
  • 作者:Zhengkang Chen ; Huisheng Zhang ; Lixin Li
  • 期刊名称:International Journal of Future Generation Communication and Networking
  • 印刷版ISSN:2233-7857
  • 出版年度:2013
  • 卷号:6
  • 期号:4
  • 出版社:SERSC
  • 摘要:The specific methods of the maximum average mutual information quantization are analyzed and deduced. With this method to quantify the initial message, the variable messages and check messages are converted into integers. Then the min-sum decoding algorithm based on integer arithmetic is implemented. Simulation results demonstrate that the decoding performance of min-sum algorithm based on integer with 7-bit maximum average mutual information quantization is almost the same as that of min-sum algorithm based on integer with 8-bit uniform quantization. Meanwhile, all the variables in the algorithm are fixed-length integers, so it is convenient for hardware implementation. Although the decoding performance is slightly worse than that of the sum-product decoding algorithm, the decoding time is greatly reduced. So it is very convenient for future generation communication.
  • 关键词:Low Density Parity Check Codes (LDPC); maximum average mutual information quantization; uniform quantization; min-sum algorithm; integer operation
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