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复杂电磁环境下频谱智能管控技术探讨

发布日期: 2021-06-10 | 浏览次数: 339
复杂电磁环境下频谱智能管控技术探讨

丁国如, 孙佳琛, 王海超, 焦雨涛                           

陆军工程大学 通信工程学院, 南京 210007


Discussion on technologies for intelligent spectrum management and control under complex electromagnetic environments

DING Guoru, SUN Jiachen, WANG Haichao, JIAO Yutao        

College of Communications Engineering, Army Engineering University, Nanjing 210007, China

                                                    

摘要: 作为国土空间的重要组成,电磁频谱空间呈现出环境错综复杂、目标类型多样、用频行为多变等新挑战,导致频谱安全问题日益严峻。面向复杂电磁环境下频谱秩序安全、频谱对抗安全和频谱共享安全等需求,基于人工智能的频谱管控成为电磁频谱领域的重要研究方向,存在着具有挑战性的基础理论问题和关键技术难题。首先,调研了复杂电磁环境下频谱智能管控的国家战略需求,然后,提炼了智能频谱管控的科学意义与技术挑战,进一步从频谱管控模型机理、频谱态势感知、频谱行为推理、频谱安全决策和频谱管控应用系统等5个方面梳理国内外研究现状,并分析了相关发展动态及研究趋势。

关键词: 复杂电磁环境, 频谱管控, 人工智能, 信息流, 无人机群, 物联网

Abstract: As an important component of national land space, the electromagnetic spectrum space presents many new challenges, such as the intricacy and complexity of the electromagnetic environment, diversity of electromagnetic targets and variability of spectrum usage behaviors. As a result, spectrum security becomes an increasingly urgent issue. For the common national defense requirements of security for spectrum order, security for spectrum confrontation and security for spectrum sharing in the complex electromagnetic environment, spectrum management and control based on artificial intelligence has become the most important research orientation in the radio spectrum field. There exist the challenging fundamental theoretical and technical problems in this research field. This paper firstly investigates the national strategic demands for intelligent spectrum management and control under complex electromagnetic environments, and then summarizes the significance and technical challenges of intelligent spectrum management and control. The present domestic and foreign research on five aspects are summarized, including the model and mechanism of spectrum management, spectrum sensing, spectrum inference, spectrum safety decision and typical application systems. Related developments and trends are analyzed.

Key words: complex electromagnetic environment, spectrum management and control, artificial intelligence, information flow, unmanned aerial vehicle swarm, internet of things

                                                    


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