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无人机测控系统中干扰感知与频谱资源管理技术
杨林超
0
(中国西南电子技术研究所,成都 610036)
摘要:
为了提高无人机测控系统在复杂电磁环境下的适应性、安全性和可靠性,解决多站多机同空域工作时面临的动态频谱资源管理问题,提出了一种基于干扰感知和频谱资源管理技术的无人机测控系统。该系统将通信侦察技术与认知无线电频谱感知技术相结合,为上/下行链路提供全频带干扰识别以及动态频谱资源管理。搭建了干扰感知和频谱资源管理系统无线测试平台,测试结果表明,当上/下行链路存在干扰信号且链路质量较差时,系统能自适应调整链路的频谱资源,可有效避开干扰信号对系统的影响,提升了无人机测控系统的生存能力和使用效能。
关键词:  无人机测控系统  认知无线电  干扰感知  频谱资源管理
DOI:10.20079/j.issn.1001-893x.210623001
基金项目:
Interference sensing and spectrum resource management technology in UAV TT&C system
YANG Linchao
(Southwest China Institute of Electronic Technology,Chengdu 610036,China)
Abstract:
In order to improve the adaptability,safety and reliability of unmanned aerial vehicle(UAV) telemetry,tracking and control(TT&C) system in complex electromagnetic environment,and solve the problem of dynamic spectrum resource management faced by multi-stations and multi-UAVs working in the same space,a novel UAV TT&C system based on interference sensing and spectrum resource management technology is proposed.The system combines communication reconnaissance technology with cognitive radio spectrum sensing technology,provides full-band interference identification and dynamic spectrum resource management for uplink/downlink.A wireless test platform for interference sensing and spectrum resource management system is built.Performance test results show that when the interference signals exist in the uplink/downlink and the link quality is poor,the system can adjust the spectrum resource adaptively,avoid the influence of interference signals effectively,and improve the survivability and operational effectiveness of UAV TT&C system.
Key words:  UAV TT&C system  cognitive radio  interference sensing  spectrum resource management