基于无人机和视觉定位的空基GNSS干扰信号检测方法  

Air-based GNSS Interference Signal Detection Method Based on UAV and Visual Localization

作　　者：李东诚 史晓锋[1] 苏岳 罗晓燕 LI Dongcheng;SHI Xiaofeng;SU Yue;LUO Xiaoyan(School of Electronic and Information Engineering,Beihang University,Beijing 100083 China;School of Astronautics,Beihang University,Beijing 100083 China)

机构地区：[1]北京航空航天大学电子信息工程学院,北京100083 [2]北京航空航天大学宇航学院,北京100083

出　　处：《西华大学学报（自然科学版）》2021年第6期7-12,共6页Journal of Xihua University:Natural Science Edition

基　　金：国家重点研发计划(2018YFB0505100);国家自然基金项目(U1833117)。

摘　　要：针对当前机场周边GNSS干扰影响飞机正常飞行的事件频发,而地面GNSS干扰检测方法和基于有人飞机的GNSS干扰检测方法难以快速精确地检测干扰信号和定位干扰源的问题,提出基于无人机和视觉定位的GNSS干扰信号检测方法。首先讨论结合无人机三角测向定位和无迹卡尔曼滤波来定位干扰源,然后在获得干扰源位置的基础上,给出一种融合无人机拍摄的实时图像与地理信息系统(GIS)数据以实现对干扰源外形识别的方案,并提出了基于公共网络的无人机与地面数据处理中心间的低空通信系统构架。In view of the frequent occurrence of GNSS interference around airports that affect the normal flight of aircraft, it is difficult to quickly and accurately detect interference signals and locate interference sources for ground-based GNSS interference detection methods and GNSS interference detection methods based on manned aircraft. This paper researches a GNSS interference signal detection method based on UAV and visual localization, proposes a method of combining UAV triangulation localization and unscented Kalman filter to locate the interference source, presents a scheme of fusing real-time images from UAV and geographic information system(GIS) data to recognize the shape of the interference source on the basis of knowing the position of the interference source, and proposes a system architecture of low-altitude communication between the UAV and the ground data processing center based on the public network.

关 键 词：干扰检测 无人机 视觉定位 低空通信 

分 类 号：TN96[电子电信—信号与信息处理]