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基于余弦符合度的自同步扰码盲识别

张立民 谭继远 钟兆根 吴昭军

张立民, 谭继远, 钟兆根, 吴昭军. 基于余弦符合度的自同步扰码盲识别[J]. 电子与信息学报, 2022, 44(4): 1412-1420. doi: 10.11999/JEIT210248
引用本文: 张立民, 谭继远, 钟兆根, 吴昭军. 基于余弦符合度的自同步扰码盲识别[J]. 电子与信息学报, 2022, 44(4): 1412-1420. doi: 10.11999/JEIT210248
ZHANG Limin, TAN Jiyuan, ZHONG Zhaogen, WU Zhaojun. Blind Recognition of Self-synchronous Scramblers Based on Cosine Conformity[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1412-1420. doi: 10.11999/JEIT210248
Citation: ZHANG Limin, TAN Jiyuan, ZHONG Zhaogen, WU Zhaojun. Blind Recognition of Self-synchronous Scramblers Based on Cosine Conformity[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1412-1420. doi: 10.11999/JEIT210248

基于余弦符合度的自同步扰码盲识别

doi: 10.11999/JEIT210248
基金项目: 国家自然科学基金(91538201);泰山学者工程专项(ts201511020);信息系统安全技术重点实验室基金(6142111190404)
详细信息
    作者简介:

    张立民:男,1966年生,教授,博士生导师,研究方向为卫星信号处理及应用

    谭继远:男,1994年生,博士生,研究方向为信道编码识别

    钟兆根:男,1984年生,博士,副教授,研究方向为扩频信号处理

    吴昭军:男,1992年生,博士,助理研究员,研究方向为信道编码识别

    通讯作者:

    谭继远 tjiyuan@outlook.com

  • 中图分类号: TN911.7

Blind Recognition of Self-synchronous Scramblers Based on Cosine Conformity

Funds: The National Natural Science Foundation of China (91538201), Taishan Scholar Special Foundation (ts201511020), The Chinese National Key Laboratory of Science and Technology on Information System Security (6142111190404)
  • 摘要: 为克服现有非合作自同步扰码识别算法在低信噪比下识别率低、适应性差的缺点,该文提出一种基于余弦符合度的自同步扰码盲识别方法。首先基于信源不平衡性和自同步扰码解扰原理建立自同步扰码的含错校验方程,然后将接收到的软判决序列转化为信息码元的后验概率序列,遍历可能的生成多项式,在遍历的过程中引入余弦符合度作为统计量,通过分析符合度的统计特性求解出最优的判别门限,根据统计量和判别门限的关系完成自同步扰码生成多项式的识别。仿真结果表明:该算法能有效识别出生成多项式,且在低信噪比下识别率优于现有算法,具有较好的低信噪比适应能力,在信源不平衡度ε为0.1,截获扰码序列长度为800 bit和ε为0.05,截获扰码序列长度为3000 bit时,能够有效完成生成多项式的识别,与目前算法相比,该文算法识别性能优于现有的硬判决算法,且比硬判决算法性能提升1~2 dB。
  • 图  1  自同步扰码加扰器结构

    图  2  自同步扰码解扰

    图  3  自同步扰码模型

    图  4  统计量和判别门限关系图

    图  5  截获扰码序列长度对算法识别率的影响

    图  6  生成多项式阶数对算法识别率的影响

    图  7  信源不平衡度对算法识别率的影响

    图  8  4种算法的容错性能对比

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出版历程
  • 收稿日期:  2021-03-26
  • 修回日期:  2021-06-29
  • 网络出版日期:  2021-07-08
  • 刊出日期:  2022-04-18

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