基于线性方程的宽带载波通信信息采集安全优化

IF 2.4 Q2 ENGINEERING, MECHANICAL Nonlinear Engineering - Modeling and Application Pub Date : 2023-01-01 DOI:10.1515/nleng-2022-0249
Liye Peng, Qing Liu, Xiaohua Lyu
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引用次数: 0

摘要

摘要为了研究宽带载波通信信息采集安全的优化问题,解决传统通信运营数据采集系统中数据采集波特率低的问题,本文以站区宽带载波通信为例,通过遗传算法的线性方程方法重构了采集路径中通信运营数据信号所需的排列方式。设计的采集系统波特率明显高于对照组,采用相移键调制和高载波频率,采集精度达到100%。解决了传统通信业务数据采集系统中数据采集波特率低的问题,提高了信息采集的安全性。基于改进遗留算法的宽带载波通信信息采集的安全性(损耗、抗干扰性)优于传统遗传算法,说明基于改进遗留算法的宽带载波通信信息采集的安全性不随迭代次数的增加而减少。
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Optimization of information acquisition security of broadband carrier communication based on linear equation
Abstract In order to study the optimization of information acquisition security of broadband carrier communication and solve the problem of low baud rate of data acquisition in traditional communication operation data acquisition systems, this article reconstructs the required arrangement of communication operation data signals in the acquisition path by taking broadband carrier communication in the station area as an example through the linear equation method of genetic algorithm. The baud rate of the designed acquisition system is significantly higher than that of the control group, and the acquisition accuracy is 100% by using phase shift key modulation and high carrier frequency. It can solve the problem of low baud rate of data acquisition in traditional communication operation data acquisition systems and improve the security of information acquisition. The security (loss, anti-interference) of broadband carrier communication information collection based on the improved legacy algorithm is better than that of the traditional genetic algorithm, indicating that the security of broadband carrier communication information collection based on the improved legacy algorithm does not increase with the number of iterations and decrease.
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来源期刊
CiteScore
6.20
自引率
3.60%
发文量
49
审稿时长
44 weeks
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
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