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兵工学报 ›› 2020, Vol. 41 ›› Issue (7): 1360-1367.doi: 10.3969/j.issn.1000-1093.2020.07.013

• 论文 • 上一篇    下一篇

一种基于时分数据调制的加权分数阶傅里叶变换通信方法

张笑宇, 冯永新   

  1. (沈阳理工大学 辽宁省信息网络与信息对抗技术重点实验室, 辽宁 沈阳 110159)
  • 收稿日期:2019-07-16 修回日期:2019-07-16 上线日期:2020-09-23
  • 通讯作者: 冯永新(1974—),女,教授,博士生导师 E-mail:fengyongxin@263.net
  • 作者简介:张笑宇(1988—),男,博士研究生。E-mail: xiaoyu88211@163.com
  • 基金资助:
    国防基础科研计划研究项目(2018);辽宁省特聘教授计划项目(2017);辽宁省高校创新团队计划项目(L2017)

A Communication Method Based on Time Division Modulation Weighted Fractional Fourier Transform

ZHANG Xiaoyu, FENG Yongxin   

  1. (Key Laboratory of Information Network and Information Countermeasure Technology of Liaoning Province, Shenyang Ligong University, Shenyang 110159, Liaoning, China)
  • Received:2019-07-16 Revised:2019-07-16 Online:2020-09-23

摘要: 加权分数阶傅里叶变换是一种新型物理层保密通信方式,可极大地提高通信系统的抗调制方式识别能力。针对单参数加权分数阶傅里叶变换易被破解的不足,提出一种基于时分数据调制的加权分数阶傅里叶变换通信方法。该方法采用奇偶位不同调制的策略,充分利用旋转因子动态加密,进行时分数据加权分数阶傅里叶变换调制,减弱信道中噪声对信号的影响,从而提高加权分数阶傅里叶变换调制信号的可靠性和安全性。仿真结果表明:基于时分数据调制的加权分数阶傅里叶变换调制信号,能够提高传统加权分数阶傅里叶变换信号的可靠性,显著降低窃听方的破译能力,可进一步增强信息传输的保密性能。

关键词: 安全通信, 加权分数阶傅里叶变换, 时分数据调制, 抗截获性

Abstract: The weighted fractional Fourier transform (4-WFRFT) is a new physical layer secret communication method, which can greatly improve the anti-modulation identification of the communication system. For the deficiencies of single-parameter weighted fractional Fourier transform, a time division modulation weighted fractional Fourier transform (TM-WFRFT) communication method is proposed. The proposed method adopts the strategy of different parity modulation and makes full use of the rotation factor to encrypt dynamically, so the security of the 4-WFRFT signal can be improved by time-division data weighted fractional Fourier modulation. The simulated results show that TM-WFRFT can significantly improve the 4-WFRFT reliability and significantly reduce the ability of the eavesdropper to decipher, thus improving the effectiveness of signal transmission and further enhancing the confidentiality of information transmission. Key

Key words: securitycommunication, weightedfractionalFouriertransform, timedivisionmodulation, anti-interceptionperformance

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