分布式、大规模、多信号系统的混沌族群保密通信研究

孙广明; 黄金杰; 刘乔

doi:10.11959/j.issn.1000-436x.2017062

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分布式、大规模、多信号系统的混沌族群保密通信研究

学术论文 | 更新时间：2024-06-05

- 分布式、大规模、多信号系统的混沌族群保密通信研究
- Research on the chaotic group secret communication of the distributed ,large-scale and multi-signal system
- 通信学报 2017年38卷第3期页码：124-132
- 作者机构：
  
  1. 哈尔滨理工大学计算机科学与技术学院，黑龙江哈尔滨 150080
  2. 哈尔滨理工大学管理学院，黑龙江哈尔滨 150080
- 作者简介：
  
  [ "孙广明（1981-），男，黑龙江绥化人，哈尔滨理工大学博士生、工程师，主要研究方向为数据安全、工业过程控制系统、非线性系统等。" ]
  [ "黄金杰（1967-），男，山东莱阳人，博士（后），哈尔滨理工大学教授、博士生导师，主要研究方向为人工智能、非线性系统等。" ]
  [ "刘乔（1980-），女，黑龙江绥化人，博士，哈尔滨理工大学副教授，主要研究方向为管理科学与工程。" ]
- 基金信息：
  
  黑龙江省自然科学基金资助项目(F201222);哈尔滨市科技创新人才研究专项基金资助项目(2007RFXXG023)
- DOI：10.11959/j.issn.1000-436x.2017062
  中图分类号： TN918
- 网络出版日期：2017-03，
  
  纸质出版日期：2017-03-15
- 稿件说明：
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孙广明, 黄金杰, 刘乔. 分布式、大规模、多信号系统的混沌族群保密通信研究[J]. 通信学报, 2017,38(3):124-132.

Guang-ming SUN, Jin-jie HUANG, Qiao LIU. Research on the chaotic group secret communication of the distributed ,large-scale and multi-signal system[J]. Journal on communications, 2017, 38(3): 124-132.
孙广明, 黄金杰, 刘乔. 分布式、大规模、多信号系统的混沌族群保密通信研究[J]. 通信学报, 2017,38(3):124-132. DOI： 10.11959/j.issn.1000-436x.2017062.

Guang-ming SUN, Jin-jie HUANG, Qiao LIU. Research on the chaotic group secret communication of the distributed ,large-scale and multi-signal system[J]. Journal on communications, 2017, 38(3): 124-132. DOI： 10.11959/j.issn.1000-436x.2017062.

摘要

现代复杂通信系统具有分布式、规模大、接入信号多和并行传输等特征，其通信安全问题日益突显。在分析混沌族群系统的演化方法以及混沌族群系统的统一同步问题的基础上，构建三维空间混沌系统的转动模型。以Newton-Leipnik系统为研究对象，利用3路不同的通信信号，对混沌族群的演化、混沌族群系统的统一同步进行了仿真和验证。实验结果证明了该方法的有效性，应用前景良好。

Abstract

Modern complicated communication system has the characteristics of distributed

large scales

multiple-imput signals and parallel transmission

which result in the increasing urgent problem of communication security.Based on the analysis on the evolution method and the unification-synchronization problem of the chaotic group system

a rotation model of 3D chaotic system was established.With the Newton-Leipnik system as study object

three different types of communication signals to simulate and validate the evolution of chaotic group

and the unification and synchronization of the chaotic group system was utilized.Experimental results show that the method presented in this study is effective and has a good prospect for the application.

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references

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