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