2018导航大会 使用直接确定位置概念的干扰定位方法[2018]10页 “英文电子版” 检索服务

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时间:2022-12-01

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上传者:战必胜
International Global Navigation Satellite Systems Association
IGNSS Symposium 2018
Colombo Theatres, Kensington Campus, UNSW Australia
7 9 February 2018
Interference Localisation Methods using Direct
Position Determination Concept
Joon Wayn Cheong
School of Electrical Engineering and Telecommunications
UNSW Sydney, Australia
Ph: +61 (2) 93856702 Email: cjwayn@unsw.edu.au
Andrew G. Dempster
School of Electrical Engineering and Telecommunications
UNSW Sydney, Australia
Ph: +61 (2) 93856890 Email: a.dempster@unsw.edu.au
ABSTRACT
GNSS users are vulnerable to in-band jamming and/or spoofing from
terrestrial sources. This is especially critical to safety-of-life applications that
relies heavily on GNSS signals to provide positional information. Prime
examples of this include passenger airliners, autonomous self-driving vehicles
and military equipment. Providing a situational awareness of the status of the
GNSS signals in such environments (e.g. an airport) is crucial to prevent the
GNSS-reliant systems from failing and to provide the jamming source's
positional information for law enforcement to rapidly disarm the interference
source.
This paper focuses on recent advancement in the detection and localisation of
multiple interferers using phased array antennas as sensors. Various
perspectives of the Direct Position Determination concept are presented and
compared and its results presented.
KEYWORDS: Interference, Localisation, Jamming, Spoofing, Phased Array,
Signal Processing
1. INTRODUCTION
Authentic GNSS signals transmitted from space are inherently weak, leaving GNSS users prone
to interference from intentional or unintentional strong terrestrial transmitters. This leaves
safety-critical services such as aviation, maritime and military operations that depend on GNSS
highly vulnerable. This is exacerbated by the highly available and cost-effective Personal
Privacy Devices (PPD) that are effectively GNSS jammers. The aim of this paper is to analyse
and develop a highly sophisticated method to geo-locate jammers using a network of sensors
deployed around a highly valuable facility such as an airport. Once a jammer has been
identified, the geolocation information will assist relevant enforcement agencies to disarm the
jammer, capture the perpetrator of an intentional jamming, and/or provide useful evidence for
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