A survey of GNSS interference monitoring technologies

With the increasing economic and strategic significance of the global navigation satellite systems (GNSS), interference events also occur frequently. Interference monitoring technologies aim to monitor the interference that may affect the regular operation of the GNSS. Interference monitoring techno...

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Main Authors: Jia Qiao, Zukun Lu, Baojun Lin, Jie Song, Zhibin Xiao, Zhi Wang, Baiyu Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2023.1133316/full
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author Jia Qiao
Zukun Lu
Baojun Lin
Jie Song
Zhibin Xiao
Zhi Wang
Baiyu Li
Baiyu Li
author_facet Jia Qiao
Zukun Lu
Baojun Lin
Jie Song
Zhibin Xiao
Zhi Wang
Baiyu Li
Baiyu Li
author_sort Jia Qiao
collection DOAJ
description With the increasing economic and strategic significance of the global navigation satellite systems (GNSS), interference events also occur frequently. Interference monitoring technologies aim to monitor the interference that may affect the regular operation of the GNSS. Interference monitoring technologies can be divided into three parts: interference detection and recognition, interference source direction finding, and interference source location and tracking. Interference detection aims to determine whether interference exists. This paper introduces the classification of interference and the corresponding detection methods. The purpose of interference recognition is to recognize and classify interference. It is often combined with pattern recognition and machine learning algorithms. Interference source direction finding aims to estimate the direction of the interference signal. There are three kinds of methods: amplitude, phase, and spatial spectrum estimation. Interference source location aims to estimate the position of the interference signal. It is usually based on the received signal strength (RSS), time difference of arrival (TDOA), frequency difference of arrival (FDOA), angle of arrival (AOA) or direction of arrival (DOA). Interference source tracking aims to track moving interference sources, and it is generally based on Kalman filter theory. This paper summarizes the interference monitoring technologies and their latest progress. Finally, prospects for interference monitoring technologies are offered.
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spelling doaj.art-f7258b9f78534cce9689c2bf974c99fd2023-03-08T05:04:14ZengFrontiers Media S.A.Frontiers in Physics2296-424X2023-03-011110.3389/fphy.2023.11333161133316A survey of GNSS interference monitoring technologiesJia Qiao0Zukun Lu1Baojun Lin2Jie Song3Zhibin Xiao4Zhi Wang5Baiyu Li6Baiyu Li7College of Electronic Science and Technology, National University of Defense Technology, Changsha, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha, ChinaInnovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha, ChinaTranscom (Shanghai) Technology Co., Ltd., Shanghai, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha, ChinaScientific Research Department, National University of Defense Technology, Changsha, ChinaWith the increasing economic and strategic significance of the global navigation satellite systems (GNSS), interference events also occur frequently. Interference monitoring technologies aim to monitor the interference that may affect the regular operation of the GNSS. Interference monitoring technologies can be divided into three parts: interference detection and recognition, interference source direction finding, and interference source location and tracking. Interference detection aims to determine whether interference exists. This paper introduces the classification of interference and the corresponding detection methods. The purpose of interference recognition is to recognize and classify interference. It is often combined with pattern recognition and machine learning algorithms. Interference source direction finding aims to estimate the direction of the interference signal. There are three kinds of methods: amplitude, phase, and spatial spectrum estimation. Interference source location aims to estimate the position of the interference signal. It is usually based on the received signal strength (RSS), time difference of arrival (TDOA), frequency difference of arrival (FDOA), angle of arrival (AOA) or direction of arrival (DOA). Interference source tracking aims to track moving interference sources, and it is generally based on Kalman filter theory. This paper summarizes the interference monitoring technologies and their latest progress. Finally, prospects for interference monitoring technologies are offered.https://www.frontiersin.org/articles/10.3389/fphy.2023.1133316/fullglobal navigation satellite systemblanket jammingspoofing jamminginterference detectioninterference recognitioninterference source direction finding
spellingShingle Jia Qiao
Zukun Lu
Baojun Lin
Jie Song
Zhibin Xiao
Zhi Wang
Baiyu Li
Baiyu Li
A survey of GNSS interference monitoring technologies
Frontiers in Physics
global navigation satellite system
blanket jamming
spoofing jamming
interference detection
interference recognition
interference source direction finding
title A survey of GNSS interference monitoring technologies
title_full A survey of GNSS interference monitoring technologies
title_fullStr A survey of GNSS interference monitoring technologies
title_full_unstemmed A survey of GNSS interference monitoring technologies
title_short A survey of GNSS interference monitoring technologies
title_sort survey of gnss interference monitoring technologies
topic global navigation satellite system
blanket jamming
spoofing jamming
interference detection
interference recognition
interference source direction finding
url https://www.frontiersin.org/articles/10.3389/fphy.2023.1133316/full
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