广义二维多项式混沌映射及其在信息传输中的应用
Generalized 2D polynomial chaotic map and its application in information transmission
- 通信学报 2022年43卷第9期 页码：80-89
- 作者机构：
1. 黑龙江大学电子工程学院，黑龙江 哈尔滨 150080
2. 澳大利亚佛林德斯大学科学与工程学院，通斯利 SA 5042
- 作者简介：
[ "闫文浩（1995- ），男，陕西渭南人，黑龙江大学博士生，主要研究方向为混沌映射动力学分析、混沌同步及混沌信息传输" ]
[ "姜子敬（1994- ），男，黑龙江哈尔滨人，黑龙江大学博士生，主要研究方向为网络信息安全及硬件加密侧信道分析" ]
[ "黄欣（1992- ），女，黑龙江哈尔滨人，黑龙江大学博士生，主要研究方向为图像加密及网络信息安全" ]
[ "朱淑娟（1965– ），女，博士，澳大利亚佛林德大学科学与工程学院研究员，主要研究方向为智能计算、数据挖掘、数字水印及信息隐藏" ]
[ "丁群（1957- ），女，黑龙江哈尔滨人，博士，黑龙江大学教授、博士生导师，主要研究方向为混沌加密算法与系统集成、混沌信息传输和网络信息安全等" ]
- 基金信息：国家自然科学基金资助项目(61471158);黑龙江省自然科学基金优秀青年基金资助项目(YQ2020F012)
DOI：10.11959/j.issn.1000-436x.2022168
中图分类号： TN918-
网络首发：2022-09，
纸质出版：2022-09-25
- 稿件说明：
移动端阅览
闫文浩, 姜子敬, 黄欣, 等. 广义二维多项式混沌映射及其在信息传输中的应用[J]. 通信学报, 2022,43(9):80-89.
Wenhao YAN, Zijing JIANG, Xin HUANG, et al. Generalized 2D polynomial chaotic map and its application in information transmission[J]. Journal on Communications, 2022, 43(9): 80-89.
闫文浩, 姜子敬, 黄欣, 等. 广义二维多项式混沌映射及其在信息传输中的应用[J]. 通信学报, 2022,43(9):80-89. DOI： 10.11959/j.issn.1000-436x.2022168.
Wenhao YAN, Zijing JIANG, Xin HUANG, et al. Generalized 2D polynomial chaotic map and its application in information transmission[J]. Journal on Communications, 2022, 43(9): 80-89. DOI： 10.11959/j.issn.1000-436x.2022168.
摘要
现有混沌映射在工程应用中存在许多缺陷，如混沌参数范围不连续、弱混沌、混沌序列输出不均匀和动力学退化等。基于此，提出了一种广义二维多项式混沌映射，通过设定不同控制参数和多项式最高次数，得到一系列特定 Lyapunov 指数的二维多项式混沌映射。为避免该映射第二个状态方程的输出塌陷为一个固定值，引入了一个不随时间变化的随机扰动变量。然后，通过具体的数值实例验证了该映射的有效性，动力分析表明该映射具有复杂的动力学行为。最后，将该映射应用于信息传输技术，相较于其他混沌映射，该映射可以取得更小的误码率，表明该混沌映射更适用于混沌信息传输。
Abstract
Existing chaotic systems have many defects in engineering applications
such as discontinuous chaotic parameter range
weak chaos
uneven output of chaotic sequences and dynamic degradation.Therefore
a generalized 2D polynomial chaotic mapping model was proposed.By setting different control parameters and the highest degree of polynomial
a series of 2D robust chaotic maps with specific Lyapunov exponent could be obtained.In order to avoid the output of the second state equation collapsing to a fixed value
a random disturbance variable which did not change with time was introduced.Finally
a numerical example was given to verify the effectiveness of the proposed model
and the dynamic analysis showed that the mapping has complex dynamic behavior.Finally
the system was applied to information transmission technology.Compared with other chaotic maps
the system can achieve lower bit error rate
which indicates that the chaotic map is more suitable for chaotic information transmission.
关键词
Keywords
references
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