电磁频谱多维态势压缩测绘技术研究进展

doi:10.11959/j.issn.1000-436x.2023174

通信学报 ›› 2023, Vol. 44 ›› Issue (11): 25-42.doi: 10.11959/j.issn.1000-436x.2023174

• 专题：面向泛在物联的普适感知与智能识别关键技术 • 上一篇

电磁频谱多维态势压缩测绘技术研究进展

沈锋¹, 丁国如², 李婕¹, 周博¹, 吴启晖¹

¹ 南京航空航天大学电磁频谱空间认知动态系统工业和信息化部重点实验室，江苏南京 211106
² 陆军工程大学通信工程学院，江苏南京 210007

修回日期:2023-09-01 出版日期:2023-11-01 发布日期:2023-11-01
作者简介:沈锋（1994− ），男，浙江嘉兴人，南京航空航天大学博士生，主要研究方向为认知信息论、认知无线电、频谱感知、频谱测绘等
丁国如（1986− ），男，河南新乡人，博士，陆军工程大学教授，主要研究方向为认知无线电、统计信号处理、机器学习以及无线网络大数据分析等
李婕（1992− ），女，河南洛阳人，博士，南京航空航天大学副研究员，主要研究方向为频谱认知、雷达通信一体化设计、智能信号处理、阵列信号处理等
周博（1991− ），男，安徽巢湖人，博士，南京航空航天大学教授，主要研究方向为智能无线通信网络、信息年龄/信息新鲜度、电磁频谱态势感知与预测等
吴启晖（1970− ），男，安徽黄山人，博士，南京航空航天大学教授，主要研究方向为认知信息论、电磁空间频谱智能管控、天地一体化信息网络和无人机集群智能通信等
基金资助:
国家自然科学基金资助项目(61827801)

Research progress on electromagnetic spectrum multidimensional situation compressed mapping technology

Feng SHEN¹, Guoru DING², Jie LI¹, Bo ZHOU¹, Qihui WU¹

¹ Key Laboratory of Ministry of Industry and Information Technology on Electromagnetic Spectrum Spatial Cognitive Dynamic Systems, Nanjing University of Aeronautics ＆Astronautics, Nanjing 211106, China
² College of Communication Engineering, Army Engineering University of PLA, Nanjing 210007, China

Revised:2023-09-01 Online:2023-11-01 Published:2023-11-01
Supported by:
The National Natural Science Foundation of China(61827801)

摘要/Abstract

摘要：

在日益复杂的电磁频谱环境中，精准获取完备的频谱态势信息是做出准确频谱决策的重要前提。首先，介绍了频谱测绘并对比了其与频谱感知的主要区别。接着，综述了现有频谱态势生成方法的研究现状。然后，提出了异构性、大尺度缺失、动态性、环境复杂性等挑战下的多维频谱态势压缩测绘技术研究工作，有效弥补了传统频谱态势生成方法忽略频谱态势感知过程而导致的频谱测绘框架不完整性，该研究可进一步为提升频谱利用效率、增强频谱安全维护以及强化军事电磁对抗的决策提供更精准的指导。最后，对未来频谱压缩测绘的发展趋势进行了展望。

关键词: 电磁频谱, 认知无线电, 频谱感知, 频谱测绘

Abstract:

In the increasingly complex electromagnetic spectrum environment, accurately obtaining comprehensive spectrum situation is a crucial prerequisite for making precise spectrum decisions.First, the spectrum mapping was introduced and compared with spectrum sensing.Then, an in-depth review of existing spectrum situation generation methods was conducted.Next, multidimensional spectrum situation compressed mapping in the face of challenges such as heterogeneity, large scale missing data, time variability and environmental complexity was proposed.It effectively compensated for the incompleteness of the spectrum mapping framework caused by ignoring the spectrum situation sensing process in traditional spectrum situation generation methods.This could further provide more accurate guidance for enhancing spectrum utilization efficiency, strengthening spectrum security maintenance, and intensifying electromagnetic warfare decision-making.Lastly, the future development trends of spectrum compressed mapping were discussed.

Key words: electromagnetic spectrum, cognitive radio, spectrum sensing, spectrum mapping

中图分类号:

TN911

沈锋, 丁国如, 李婕, 周博, 吴启晖. 电磁频谱多维态势压缩测绘技术研究进展[J]. 通信学报, 2023, 44(11): 25-42.

Feng SHEN, Guoru DING, Jie LI, Bo ZHOU, Qihui WU. Research progress on electromagnetic spectrum multidimensional situation compressed mapping technology[J]. Journal on Communications, 2023, 44(11): 25-42.

图/表 11

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电磁频谱多维态势压缩测绘技术研究进展

Research progress on electromagnetic spectrum multidimensional situation compressed mapping technology

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