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Rice信道下LDPC码密度进化的研究

徐华 徐澄圻

徐华, 徐澄圻. Rice信道下LDPC码密度进化的研究[J]. 电子与信息学报, 2006, 28(10): 1831-1836.
引用本文: 徐华, 徐澄圻. Rice信道下LDPC码密度进化的研究[J]. 电子与信息学报, 2006, 28(10): 1831-1836.
Xu Hua, Xu Cheng-qi. Research of Density Evolution of LDPC Codes over Rice Channels[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1831-1836.
Citation: Xu Hua, Xu Cheng-qi. Research of Density Evolution of LDPC Codes over Rice Channels[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1831-1836.

Rice信道下LDPC码密度进化的研究

Research of Density Evolution of LDPC Codes over Rice Channels

  • 摘要: 应用低密度奇偶校验(LDPC)码译码消息的密度进化可以得到码集的噪声门限,依此评价不同译码算法的性能,并可以用来优化非正则LDPC码的次数分布对。该文首先以Rice信道下正则LDPC码为例,讨论了不同量化阶数及步长时BP,BP-based 和offset BP-based 3种译码算法的DDE(Discrete Density Evolution)分析,接着在offset BP-based译码算法的DDE分析基础上,采用差分进化方法对Rice信道下非正则LDPC码的次数分布对进行了优化,得出了相应的噪声门限。最后,给出了Rice信道下码率为1/2的优化非正则LDPC码的概率聚集函数(PMF)进化曲线。
  • Gallager R G. Low-density parity-check codes[J].IRE Trans. on Info. Theory.1962, 8(1):21-28[2]Richardson T J, Urbanke R L. The capacity of low-density parity-check codes under message-passing decoding [J].IEEE Trans. on Info. Theory.2001, 47(2):599-618[3]Mackay D J C. Good error-correcting codes based on very sparse matrices[J].IEEE Trans.on Info. Theory.1999, 45(3):399-431[4]Fossorier M, Mihaljevic M, Imai H. Reduced complexity iterative decoding of low density parity check codes based on belief propagation[J].IEEE Trans. on Communications.1999, 47(5):673-680[5]Wei X, Akansu A N. Density evolution for low density parity check coeds under Max-Log-MAP decoding[J].Electronics Letters.2001, 37(18):1125-1126[6]贺玉成, 杨莉, 王新梅, et al.. 置信传播算法的性能测度[J].电子学报, 2002, 30(4): 577-580.[7]Chung S Y, Forney J G D, Richardson T J, et al.. On the design of low-density parity-check codes within 00045dB of the Shannon limit[J].. IEEE Communications. Letters.2001, 5(2):58-60[8]Chen J H, Fossorier M. Density evolution for two improved BP-based decoding algorithms of LDPC codes[J].IEEE Communications Letters.2002, 6(5):208-210[9]Chen J H, Fossorier M. Density evolution for BP-based decoding algorithm of LDPC codes and their quantized versions[C]. IEEE Global Telecommunications Conference, Taipei, Nov. 2002, 2: 1378-1382.[10]Hou J L, Siegel P H, Milstein B. Perforance analysis and optimaization of low density parity check codes on Rayleigh channels[J].IEEE J. on Selected Area in Communication.2001, 19(5):924-934[11]林家儒, 吴伟陵. LDPC码在RICE信道中的性能分析[J]. 北京: 北京邮电大学学报, 2004, 27(2): 48-53.[12]Shokrollahi A, Storn R. Design of efficient erasure codes with differential evolution[C]. In Proc. IEEE Int. Symp. Information Theory, Sorrento, Italy, June 2000: 5.[13]Storn R, Price K. Differential evolutionA simple and efficient heuristic adaptive scheme for global optimization over continuous spaces[J].J. Global Optimization.1997, 11(2):341-359[14]Chung S Y, Richardson T J, Urbanke R L. Analysis of sum-product decoding of low-density parity-check codes using a gaussaian approximation[J].IEEE Trans. on Info. Theory.2001, 47(2):657-670[15]Kavcic A, Ma X, Mitzenmacher M. Binary intersymbol Interference channels: Gallager codes, density evolution, and code perfornance bounds[J].IEEE Trans. on Info. Theory.2003, 49(7):1636-1652[16]Tan W J, Cruz J R. Performance evaluation of low-density parity-check codes on partial-response channels using density evolution[J].IEEE Trans. on Communications.2004, 52(8):1253-1256
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出版历程
  • 收稿日期:  2005-03-21
  • 修回日期:  2005-09-12
  • 刊出日期:  2006-10-19

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