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基于数据驱动的电磁波干扰源定位方法研究

Research on data-driven electromagnetic wave interference source localization method
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摘要 针对GPS信号因电磁波干扰而消失的情况,文章提出了一种结合聚类方法与数学方法的CFS(Cluster for Source)算法来定位干扰源。利用中国民用航空飞行学院洛阳分院的飞行数据对该方法进行了验证,结果表明,拟合结果与人工判断的结果在经纬度上基本一致。此方法为空域管理及飞行路线规划提供了一定的参考,并为飞行训练的安全保障提供了支持。 In response to the situation where GPS signals disappear due to electromagnetic interference,this article proposes a CFS(Cluster for Source)algorithm that combines clustering and mathematical methods to locate the interference source.The method was validated using flight data from the Luoyang branch of the Civil Aviation Flight University of China,and the results showed that the fitting results were basically consistent with the manually judged results in latitude and longitude.This method provides a certain reference for airspace management and flight route planning,and supports the safety guarantee of flight training.
作者 王荣升 路晶 陈燃 高绍铭 WANG Rongsheng;LU Jing;CHEN RAN;Gao Shaoming(College of Computer Science and Technology,Civil Aviation Flight University of China,Guanghan,Sichuan 618307,China;College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)
出处 《计算机应用文摘》 2024年第17期186-190,194,共6页 Chinese Journal of Computer Application
基金 民航飞行技术与飞行安全重点实验室自主研究项目(FZ2020ZZ02) 四川省重点研发项目(2022YFG0027)。
关键词 电磁波干扰 干扰源定位 聚类算法 数学定位 electromagnetic interference interference source location clustering algorithm mathematical location
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