A survey of GNSS interference monitoring technologies

Frontiers in Physics

Physics

Jie Song¹  Zhibin Xiao¹  Zukun Lu¹  Jia Qiao¹  Baiyu Li²  Baojun Lin³  Zhi Wang⁴ 

[1] College of Electronic Science and Technology, National University of Defense Technology, Changsha, China;College of Electronic Science and Technology, National University of Defense Technology, Changsha, China;Scientific Research Department, National University of Defense Technology, Changsha, China;Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai, China;Transcom (Shanghai) Technology Co., Ltd., Shanghai, China;

关键词: global navigation satellite system;    blanket jamming;    spoofing jamming;    interference detection;    interference recognition;    interference source direction finding;    interference source location;    interference source tracking;   

DOI  :  10.3389/fphy.2023.1133316

 received in 2022-12-28, accepted in 2023-02-27,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Qiao, Lu, Lin, Song, Xiao, Wang and Li.