Secure communication system in maritime navigation using state observer with linear matrix inequality

Xiao Xu, Truong Ngoc Cuong, Sang-Do Lee, S. You
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引用次数: 0

Abstract

ABSTRACT With emerge of smart navigation, the secure communication issues have drawn extensive attention on maritime agendas between ships or with the shore. This paper presents a chaotic secure communication scheme by using observer design for maritime navigation and transportation systems. The proposed scheme involves three key factors: chaotic encryption, state observer, and chaotic decryption. The chaotic system, as the encryption keys carrying confidential information, will be sent from transmitter to the receiver through a public channel. It is obvious that the fewer signals are transmitted on the public channel, the higher security of the communication system is possible. A state observer is designed to estimate all system states when only partial states are detectable on the public channel. The robust observer gain is implemented in terms of linear matrix inequality (LMI) for convex optimization. The process of information encryption and recovery has been discussed in detail. From the simulation results, it is found that the observer-based method can robustly estimate full state variables by using system output signals with LMI optimization. Based on these updated states with the the state observer, the original information is accurately recovered for safe navigation of vessels with reliability and efficiency.
基于线性矩阵不等式状态观测器的海上安全通信系统
随着智能导航的出现,船舶之间或与岸之间的安全通信问题已成为海事议程中广泛关注的问题。提出了一种基于观测器设计的混沌保密通信方案。该方案涉及三个关键因素:混沌加密、状态观测器和混沌解密。混沌系统作为携带机密信息的加密密钥,通过公共信道从发送端发送到接收端。显然,在公共信道上传输的信号越少,通信系统的安全性就越高。当在公共信道上只能检测到部分状态时,设计状态观测器来估计系统的所有状态。鲁棒观测器增益是用线性矩阵不等式(LMI)实现的。详细讨论了信息加密和恢复的过程。仿真结果表明,基于观测器的方法利用系统输出信号进行LMI优化,可以鲁棒估计全状态变量。利用状态观测器对这些状态进行更新,准确地恢复原始信息,保证船舶可靠、高效地安全航行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.90
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