一种非规则卷积低密度校验码的构造和短环去除方法
Irregular Low-Density Convolutional Codes Construction and Short Cycles Elimination Method
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摘要: 该文研究了使用为分组低密度校验(Low-Density Parity-Check，LDPC)码优化的度序列分布来构造卷积低密度(Low-Density Convolutional，LDC)码的方法，详细讨论了LDC码的编码、译码和短环的消除算法，实验结果说明用为分组LDPC码优化的非规则度序列分布所构造的LDC码，其性能要优于目前文献上提出的规则(homogeneous)LDC码。Abstract: A method for constructing Low-Density Convolutional (LDC) codes with degree distributions optimized for block Low-Density Parity-Check (LDPC) codes is presented. The encoding, decoding, and short cycles elimination methods are discussed in detail. Experimental results show that the LDC codes constructed with the optimized irregular degree distributions for block LDPC codes are superior to homogeneous (i.e., regular) LDC codes.
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Richardson T, Shokrollahi M, Urbanke R. Design of capacity-approaching irregular low-density parity-check codes[J].IEEE Trans. on Info. Theory.2001, 47(2):619-637[2]Felstrom A J, Zigangirov K S. Time-varying periodic convolutional codes with low-density parity-check matrix[J].IEEE Trans. on Info. Theory.1999, 45(6):2181-2191[3]Lentmaier M, Truhachev D, Zigangirov K S. On the theory of low-density convolutional codes II[J].Problems of Information Transmission.2001, 37(4):288-306[4]Hu X, Eleftheriou E, Arnold D M. Progressive edge-growth tanner graphs. GLOBECOM 2001- IEEE Global Telecommunications Conference, Texas, USA, IEEE, 2001, no. 1: 995-2001. -
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