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面向无线电监测与管理的可视化技术综述

A Survey of Visualization for Radio Monitoring and Management

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【作者】 周芳芳谢慧萱罗晓波赵颖张健魏强辜方林

【Author】 Zhou Fangfang;Xie Huixuan;Luo Xiaobo;Zhao Ying;Zhang Jian;Wei Qiang;Gu Fanglin;School of Computer Science and Engineering, Central South University;School of Information and Communication Engineering, University of Electronic Science and Technology of China;National Key Laboratory of Science and Technology on Blind Signal Processing;College of Electronic Sciences, National University of Defense Technology;

【通讯作者】 赵颖;

【机构】 中南大学计算机学院电子科技大学信息与通信工程学院盲信号处理国家重点实验室国防科技大学电子科学学院

【摘要】 频谱是一种承载无线电通信的自然资源,无线电管理部门需对其管辖范围内的无线电通信进行监测和管理,保障频谱资源被高效有序地使用.可视化与可视分析作为一种数据分析、信息挖掘和辅助决策的重要技术,广泛应用于分析各类仿真和监测获得的电磁大数据,以提升管理人员在无线电信号识别、无线电行为理解、通信干扰检测与处置、电磁环境态势感知等方面的能力.通过整理2000—2020年的相关文献,首先总结无线电监管发展历程和数据分析需求;然后从科学可视化、信息可视化和可视分析3个方面系统地梳理已有研究和应用场景;最后展望了该领域未来的研究方向.

【Abstract】 Electromagnetic spectrum is a natural resource to support radio communications. Radio administration bureaus need to monitor and manage radio communications within their jurisdictions to ensure the efficient and orderly use of spectrum resources. Visualization, as an important technology for data analysis, information mining, and decision making, has been widely applied in the analysis of big radio data to improve the ability of radio supervisors in signal recognition, radio behavior understanding, interference detection and treatment, and electromagnetic situation awareness. In this paper, we present a literature review of visualization for radio monitoring and management. We first summarize the development of technology in radio monitoring and management and the analysis requirements of radio big data. We then introduce representative visualization approaches for radio monitoring and management from three main perspectives, namely scientific visualization, information visualization, and visual analytics. Finally, we outline some guidelines and directions for future research.

【基金】 国家重点研发计划(2018YFB1700403);国家科技基础资源调查项目(2018FY10090002);国家自然科学基金(61672538,61872388)
  • 【文献出处】 计算机辅助设计与图形学学报 ,Journal of Computer-Aided Design & Computer Graphics , 编辑部邮箱 ,2020年10期
  • 【分类号】TN98
  • 【被引频次】8
  • 【下载频次】445
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