The impact and sources of radio frequency interference on GNSS signals

IF 1.6 4区 地球科学 Q3 ASTRONOMY & ASTROPHYSICS
Radio Science Pub Date : 2024-12-31 DOI:10.1029/2024RS008109
Endawoke Yizengaw
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引用次数: 0

Abstract

The utilization of the global navigation satellite systems (GNSS) services in both military and civilian applications as well as for scientific investigation has grown exponentially. However, the increasing reliance on GNSS applications has raised concerns about potential risks from intentional radio frequency interference (RFI) transmitters. RFI significantly affects GNSS's environmental monitoring capabilities by inflating the scintillation index and misleading the scientific community with scintillation indices not attributable to ionospheric dynamic events. Consequently, the existing climatological distribution of GNSS scintillations may require careful reevaluation, as it may not adequately filter out RFI induced scintillations. Thus, characterizing the global RFI occurrence regions and developing real-time detection capabilities to mitigate its effects is critically important. Leveraging GNSS measurements from ground stations and six COSMIC-2 satellite constellations, we have developed a technique to detect RFI events and identify RFI active regions. Additionally, for the first time, we have implemented techniques that differentiate RFI associated scintillations from scintillations caused by ionospheric turbulence.
无线电频率干扰对GNSS信号的影响及来源
全球导航卫星系统(GNSS)服务在军事和民用以及科学调查方面的应用呈指数级增长。然而,对GNSS应用的日益依赖引起了人们对故意射频干扰(RFI)发射机的潜在风险的担忧。RFI通过夸大闪烁指数和用不能归因于电离层动态事件的闪烁指数误导科学界,严重影响GNSS的环境监测能力。因此,GNSS闪烁的现有气候分布可能需要仔细重新评估,因为它可能无法充分滤除RFI诱发的闪烁。因此,表征全球射频干扰发生区域并开发实时检测能力以减轻其影响至关重要。利用来自地面站和六个COSMIC-2卫星星座的GNSS测量,我们开发了一种检测RFI事件和识别RFI活跃区域的技术。此外,我们首次实现了区分RFI相关闪烁和电离层湍流引起的闪烁的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radio Science
Radio Science 工程技术-地球化学与地球物理
CiteScore
3.30
自引率
12.50%
发文量
112
审稿时长
1 months
期刊介绍: Radio Science (RDS) publishes original scientific contributions on radio-frequency electromagnetic-propagation and its applications. Contributions covering measurement, modelling, prediction and forecasting techniques pertinent to fields and waves - including antennas, signals and systems, the terrestrial and space environment and radio propagation problems in radio astronomy - are welcome. Contributions may address propagation through, interaction with, and remote sensing of structures, geophysical media, plasmas, and materials, as well as the application of radio frequency electromagnetic techniques to remote sensing of the Earth and other bodies in the solar system.
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