太赫兹科学与电子信息学报2025，Vol.23Issue(5)：509-519,526,12.DOI:10.11805/TKYDA2023261
基于AI的抗干扰卫星通信体系架构及技术
Artificial Intelligence-based architecture and technology of the anti-jamming satellite communication
魏鹏 1陆锐敏 1王琪2
作者信息
- 1. 国防科技大学 第六十三研究所,江苏 南京 210007
- 2. 国防科技大学 第六十三研究所,江苏 南京 210007||甘肃酒泉十四支局,甘肃 酒泉 735018
- 折叠
摘要
Abstract
Based on the new threats posed by Artificial Intelligence(AI)to electromagnetic spectrum security and the current development status and trends of anti-jamming satellite communication systems,an intelligent anti-jamming satellite communication system architecture based on AI is proposed,which features'distributed perception+hierarchical decision-making+unified action+quasi-real-time assessment'.The corresponding unit composition architecture of the satellite payload,terminals,and ground stations,and the hardware and software architecture required for engineering implementation are introduced as well in order to adapt to the increasingly intelligent interference situation.In light of the characteristics of extensive use of deep neural networks in the proposed intelligent anti-jamming satellite communication system architecture,the working mechanism of the system architecture is studied,the basic workflow and preliminary deployment methods are put forward.The relevant supporting technologies are analyzed and sorted out,the disadvantages of traditional technologies in areas such as interference perception,anti-jamming decision-making,anti-jamming waveform reconstruction,and quasi-real-time anti-jamming effectiveness assessment,are discussed.The current research status based on AI technology and the key issues that need to be focused on and resolved in the future are concluded.This is intended to provide some reference for the construction of AI-based anti-jamming satellite communication systems.关键词
人工智能(AI)/抗干扰/卫星通信/体系架构/干扰认知/干扰抑制Key words
Artificial Intelligence(AI)/anti-jamming/satellite communications/architecture/jamming cognition/jamming suppression分类
信息技术与安全科学引用本文复制引用
魏鹏,陆锐敏,王琪..基于AI的抗干扰卫星通信体系架构及技术[J].太赫兹科学与电子信息学报,2025,23(5):509-519,526,12.
