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基于中国剩余定理和贪婪算法扩展的QC-LDPC码 被引量:1

QC-LDPC Codes Based on Chinese Remainder Theorem and Greedy Algorithm
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摘要 在缩短阵列码的基础上运用中国剩余定理(CRT)和贪婪算法提出了一种新颖的大围长、码长更加灵活的QC-LDPC构造方法,且所构造的码字的校验矩阵采用楼梯矩阵循环置换而成。与传统CRT构造方法相比,只需已知一个分量码——缩短阵列码,同时新构造QC-LDPC码码长与码率选择比较灵活,围长更大,如果围长一样,则使最短环数量尽可能地少。仿真分析表明:在误码率为10-6时,在相同码率和码长的条件下,利用所提出的构造方法所构造的girth-8(4,k)QC-LDPC码在加性高斯白噪声(AWGN)和瑞利衰落信道中分别与缩短阵列码相比可获得约1.2 d B和2.0 d B的净编码增益,与CRT码相比分别改善了0.3 d B和0.7 d B的净编码增益,且性能与Gallager随机码性能相似但编码复杂度大大降低。 A new method is proposed to construct a large girth and flexible length QC-LDPC codes by Chi-nese Remainder Theorem(CRT) and greedy algorithm. And the check matrix of the proposed codes is com-posed of the cyclical permutation based on staircase matrix. Compared with traditional CRT method,it onlyneed know a component code-shortened array code,meanwhile,the proposed codes have flexible codelengths and rates with larger girth. If its girth is the same as that via traditional CRT method,it can makethe shortest cycle numbers as less as possible. When the BER is 10-6 in AWGN and Rayleigh fading chan-nel,simulation results show that the proposed girth-8(4,k) QC-LDPC codes with the same code lengthand rate has net coding gain(NCG) of about 1. 2 dB and 2dB over shortened array codes respectively,inaddition,the NCG of the proposed codes is 0. 3 dB and 0. 7dB more than that of CRT codes separately,fur-thermore,the proposed codes have similar performance with Gallager random codes but encoding complexityis reduced greatly.
出处 《电讯技术》 北大核心 2014年第11期1528-1533,共6页 Telecommunication Engineering
基金 国家自然科学基金资助项目(61371096 61171158 61275077) 重庆市自然科学基金资助项目(cstc2013jcyjA40052 cstc2012jjA40060) 重庆市教委科学技术研究项目(KJ130515)~~
关键词 QC-LDPC码 楼梯矩阵 循环置换矩阵 中国剩余定理 贪婪算法 大围长 QC -LDPC codes staircase matrix cycle permutation matrix chinese remainder theorem greedy algorithm large girth
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参考文献12

  • 1MacKay D J C,Neal R M. Near Shannon limit perform-ance of low density parity check codes[J]. ElectronicsLetters,1996,32(18):1645.
  • 2刘原华,张美玲.一种可快速编码的QC-LDPC码构造新方法[J].电讯技术,2013,53(1):55-59. 被引量:4
  • 3程浩,仰枫帆.基于有限域的QC-LDPC码编码协作通信及其联合迭代译码技术[J].电讯技术,2013,53(12):1574-1579. 被引量:1
  • 4Khazraie S,Asvadi R,Banihashemi A H. A PEG construc-tion of finite-Length LDPC codes with low error floor[J].IEEE Communications Letters,2012,16(8):1288-1291.
  • 5Wang L,Zhang X,Yu F,et al. QC-LDPC Codes withGirth Eight Based on Independent Row-Column MappingSequence[J]. IEEE Communications Letters,2013,17(11):2140-2143.
  • 6Fossorier M P C. Quasi-cyclic low-density parity-checkcodes from circulant permutation matrices[J]. IEEE Trans-actions on Information Theory,2004,50(8):1788-1793.
  • 7Fan J L. Array codes as LDPC codes[M] / / ConstrainedCoding and Soft Iterative Decoding. Berlin: Springer,2001:195-203.
  • 8Blaum M,Roth R M. New array codes for multiple phasedburst correction [J]. IEEE Transactions on InformationTheory,1993,39(1):66-77.
  • 9Myung S,Yang K. A combining method of quasi-cyclicLDPC codes by the Chinese remainder theorem[J]. IEEECommunications Letters,2005,9(9):823-825.
  • 10Liu Y,Wang X,Chen R,et al. Generalized combiningmethod for design of quasi - cyclic LDPC codes[J].IEEE Communications Letters,2008,12(5):392-394.

二级参考文献3

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同被引文献11

  • 1Fossorier M P C. Quasi-cyclic low-density parity-checkcodes from circulant permutation matrices[J]. IEEE Trans-actions on Information Theory,2004,50(8):1788-1793.
  • 2Huang Qin,Diao Qinju. Cyclic and Quasi-Cyclic LDPCCodes on Constrained Parity-Check Matrices and TheirTrapping Sets [J]. IEEE Transactions on InformationThrory,2012,59(1):2648-2671.
  • 3Wang Lei, Zhang Xing. QC - LDPC Codes with GirthEight Based on Independent Row-Colunm Mapping Se-quence [J]. IEEE Communications Letters, 2013, 17(11):2140-2143.
  • 4Jiang Xueqin,Xia Xianggen. Efficient Progressive Edge-Growth Algorithm Based on Chinees Remainder Theorem[J]. IEEE Transactions on Communications,2014,62(2):442-451.
  • 5Sharon E,Litsyn S. Constructing LDPC codes by errorminimization progressive edge growth[J]. IEEE Transac-tions on Communications,2008,56(3):359-368.
  • 6Tanner R M. Minimum-distance bounds by graph analy-sis[J]. IEEE Transactions on Information Theory,2001,47(2):808-821.
  • 7Hu X Y,Vetterli M. Low-delay low-complexity errorcorrectingcodes on sparse graphs[D]. Switzerland:SwissFederal Insitute of Technology Lausanne(EPFL),2002.
  • 8Yu Kou,Shu Lin,Fossorier M P C. Low-Density Parity-Check Codes Based on Finite Geometries[J]. IEEE Trans-actions on Information theory,2001,47(7):2711-2736.
  • 9Gal1ager R G. Low-density parity-check codes[J]. IEEETransactions on Information Theory,1962(8):21-28.
  • 10MacKay D J C. Good error-correcting codes based onvery sparse matrices[J]. IEEE Transactions on Infor-mation Theory,1999,45(2):399-431.

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