期刊文献+

GPS L1C信号LDPC码译码最优量化方法 被引量:1

Optimized LDPC decoding quantization method for GPS L1Csignal
原文传递
导出
摘要 针对GPS L1C导航新体制信号CNAV-2电文所采用的LDPC纠错编码在译码实现中的量化问题,该文提出了一种修正最小和TDMP译码算法的最优量化方法。该方法分析了译码算法中最小和修正系数的取值以及节点迭代更新信息的整数位与小数位量化精度的选取对其纠错性能的影响,对译码算法在有限精度下的量化方案进行了优化设计。实验结果表明,该量化方法能够有效兼顾译码复杂度与误码率性能。 Aiming at the quantization issues of decoder implementations for LDPC codes which are adopted in the modernized GPS L1 Csignal’s CNAV-2 navigation messages,this paper proposed an optimized quantization method for the modified Min-Sum TDMP decoding algorithm.This method analyzed the influence of the selection of the Min-Sum correction coefficients in the decoding algorithms as well as the choice of the precision of the integer part and decimal part for the nodes′iterative updating messages,the quantization scheme of the decoding algorithm is optimized under finite precision.The simulation results show that the proposed method can efficiently take account of both the decoding complexity and the decoding error rate performance.
作者 张剑 邵晨光 侯毅 ZHANG J ian;SHAO Chenguang;HOU Yi(Navigation and Control Technology Research Institute of China North Industries Group Corporation,Beijing 100089,China)
出处 《测绘科学》 CSCD 北大核心 2019年第1期32-35,共4页 Science of Surveying and Mapping
关键词 GPS L1C信号 LDPC码 译码器 量化方法 GPS L1C signal LDPC codes decoder quantization method
  • 相关文献

参考文献2

二级参考文献18

  • 1Navstar Global Positioning System. Navstar GPS space Segment/User segment L1C interfaces( Revision A) [ EB/OL] , 2010. http ://www. losangeles, af. mil/shared/media./ documentJAFD - 100813 - 047. pdf. (2010 - 6 - 30).
  • 2Betz J W, Blanco M A, Cahn C R, et al. Description of the L1C signal [ C ]//Proceedings of ION GNSS, 2006:2080 -2091.
  • 3Dafesh P A, Vall6s E L, Sklar D J, et al. Data message performance for the future L1 C GPS signal [ C ]//ION GNSS 20th International Technical Meeting of the Satellite Division, 2007:2519 - 2528.
  • 4Gallager R G. Low-density parity-check codes[ M]. Cambridge MA: M1T Press, 1963.
  • 5Berrou C, Glavieux A, Thitimajshima P. Near Shannon limit error-correcting and decoding: turbo codes [ C ]//IEEE Int Conf on Communications, 1993 : 1064 - 1070.
  • 6Mackay D J C, Neal R M. Near Shannon-limit performance of low-density parity-check codes [ J]. Electronics Letters, 1997, 33(6) :457 -458.
  • 7Richardson T J, Urbanke R L. The capacity of low-density parity-check codes under message-passing decoding [ J ]. IEEE Trans on Inform Theory, 2001,47(2) :599 -618.
  • 8Hu X Y, Eleftheriou E, Arnold D M. Progressive edge-growth Tanner graphs [ C ]//IEEE Global Telecommun Conf, 2001 : 995 - 1001.
  • 9Fossorier M P C, 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.
  • 10Tanner R M. A recursive approach to low complexity codes [J]. IEEE Trans on Inform Theory, 1981, 27 (6):533 - 547.

共引文献4

同被引文献1

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部