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Low Complexity LDPC Decoder with Modified Sum-Product Algorithm
  • ISSN号:1000-0054
  • 期刊名称:《清华大学学报:自然科学版》
  • 时间:0
  • 分类:TN911.22[电子电信—通信与信息系统;电子电信—信息与通信工程] TN764[电子电信—电路与系统]
  • 作者机构:[1]Tsinghua National Laboratory for InformationScience and Technology, Department of Electronic v.Engineering, Tsinghua University, Beijing 100084, China.
  • 相关基金:supported by Tsinghua University Initiative Scientific Research Program(No.2010THZ0);the National Key Basic Research (973) Program of China(No.2012CB316000)
中文摘要:

This paper describes an efficient implementation of the Sum-Product Algorithm (SPA) within a Low Density Parity Check (LDPC) code decoder, where a horizontal process correction term is used to improve the decoding performance of the Min-Sum algorithms. The correction term is implemented as a look-up table. The algorithm uses the correction term redundancy by means of a coordinate transformation to reduce the hardware complexity. Simulations and hardware tests indicate that the decoding performance is very good with the appropriate look-up table.

英文摘要:

This paper describes an efficient implementation of the Sum-Product Algorithm (SPA) within a Low Density Parity Check (LDPC) code decoder, where a horizontal process correction term is used to improve the decocling performance of the Min-Sum algorithms. The correction term is implemented as a look-up table. The algorithm uses the correction term redundancy by means of a coordinate transformation to reduce the hardware complexity. Simulations and hardware tests indicate that the decoding performance is very good with the appropriate look-up table

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期刊信息
  • 《清华大学学报:自然科学版》
  • 中国科技核心期刊
  • 主管单位:教育部
  • 主办单位:清华大学
  • 主编:梁恩忠
  • 地址:北京市海淀区清华大学学研大厦B座908
  • 邮编:100084
  • 邮箱:xuebaost@tsinghua.edn.cn
  • 电话:010-62788108 62792976
  • 国际标准刊号:ISSN:1000-0054
  • 国内统一刊号:ISSN:11-2223/N
  • 邮发代号:2-90
  • 获奖情况:
  • 国家期刊奖,国家“双高”期刊,1992年以来,历次国家级和省部级一等奖,第一、二届全国优秀科技期刊一等奖,教育部优秀期...,第三届中国出版政府奖提名奖
  • 国内外数据库收录:
  • 美国化学文摘(网络版),美国数学评论(网络版),德国数学文摘,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,美国应用力学评论,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:43470