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基于改进Walsh-Hadamard变换的(n,1,m)卷积码盲识别

张立民 刘杰 钟兆根

张立民, 刘杰, 钟兆根. 基于改进Walsh-Hadamard变换的(n,1,m)卷积码盲识别[J]. 电子与信息学报, 2018, 40(4): 839-845. doi: 10.11999/JEIT170605
引用本文: 张立民, 刘杰, 钟兆根. 基于改进Walsh-Hadamard变换的(n,1,m)卷积码盲识别[J]. 电子与信息学报, 2018, 40(4): 839-845. doi: 10.11999/JEIT170605
ZHANG Limin, LIU Jie, ZHONG Zhaogen. Blind Recognition of (n,1,m) Convolutional Codes Based on Modified Walsh-Hadamard Transform[J]. Journal of Electronics & Information Technology, 2018, 40(4): 839-845. doi: 10.11999/JEIT170605
Citation: ZHANG Limin, LIU Jie, ZHONG Zhaogen. Blind Recognition of (n,1,m) Convolutional Codes Based on Modified Walsh-Hadamard Transform[J]. Journal of Electronics & Information Technology, 2018, 40(4): 839-845. doi: 10.11999/JEIT170605

基于改进Walsh-Hadamard变换的(n,1,m)卷积码盲识别

doi: 10.11999/JEIT170605
基金项目: 

国家自然科学基金(91538201),泰山学者工程专项经费(st201511020)

Blind Recognition of (n,1,m) Convolutional Codes Based on Modified Walsh-Hadamard Transform

Funds: 

The National Natural Science Foundation of China (91538201), The Special Fund of Taishan Scholars Project (st201511020)

  • 摘要: 针对高误码率情况下(n,1,m)卷积码的盲识别问题,该文提出一种新的基于改进Walsh-Hadamard变换(Walsh-Hadamard Transform, WHT)的方法。首先将原问题等效为多路1/2码率卷积码的盲识别问题,并建立关于其生成多项式系数的线性方程组。然后分析了现有基于WHT的方法直接求解该方程组所存在的不足,重新建立更稳健的判决门限,同时通过缩小解的取值范围降低计算量,进而在求得正确解向量的同时完成对码长的识别。最后,将多路等效1/2码率卷积码的生成多项式按一定条件组合,得到(n,1,m)卷积码的生成多项式矩阵。仿真结果验证了所提方法的有效性,且性能优于传统方法。
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出版历程
  • 收稿日期:  2017-06-23
  • 修回日期:  2017-11-21
  • 刊出日期:  2018-04-19

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