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A survey on coping with intentional interference in satellite navigation for manned and unmanned aircraft

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A survey on coping with intentional interference in satellite navigation for manned and unmanned aircraft. / Morales-Ferre, Ruben; Richter, Philipp; Falletti, Emanuela; de la Fuente, Alberto; Lohan, Elena Simona.

julkaisussa: IEEE Communications Surveys and Tutorials, 24.10.2019.

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Morales-Ferre, Ruben ; Richter, Philipp ; Falletti, Emanuela ; de la Fuente, Alberto ; Lohan, Elena Simona. / A survey on coping with intentional interference in satellite navigation for manned and unmanned aircraft. Julkaisussa: IEEE Communications Surveys and Tutorials. 2019.

Bibtex - Lataa

@article{01ddcd17d52845989d71aae1e701e087,
title = "A survey on coping with intentional interference in satellite navigation for manned and unmanned aircraft",
abstract = "Intentional interference in satellite navigation is becoming an increasing threat for modern systems relying on Global Navigation Satellite Systems (GNSS). In particular, critical applications such as aviation can be severely affected by undetected and un-mitigated interference and therefore interference management solutions are crucial to be employed. Methods to cope with such intentional interference enclose interference detection, interference mitigation, interference classification, and interference localization. This paper offers a comprehensive survey of interference management methods developed in the last four decades by the research community. After reviewing the main concepts of GNSS-based navigation, the interference and interference management solutions are classified, with a particular focus on the two major threats in GNSS navigation, namely jamming and spoofing. Mathematical models, comparative tables for various interference management solutions, such as detection, localization, mitigation, and classification, as well as comparative numerical results based on several selected algorithms are also presented. We especially focus on algorithms relying on omnidirectional antennas, which do not require additional specific antennas to be installed on the aircraft and thus reduce the costs of retrofit and installation.",
keywords = "Aircraft navigation, Interference, Aircraft, Global navigation satellite system, Jamming, Global Positioning System, aviation, drones, GNSS, interference, jamming, meaconing, satnav, spoofing.",
author = "Ruben Morales-Ferre and Philipp Richter and Emanuela Falletti and {de la Fuente}, Alberto and Lohan, {Elena Simona}",
year = "2019",
month = "10",
day = "24",
doi = "10.1109/COMST.2019.2949178",
language = "English",
journal = "IEEE Communications Surveys and Tutorials",
issn = "1553-877X",
publisher = "Institute of Electrical and Electronics Engineers",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - A survey on coping with intentional interference in satellite navigation for manned and unmanned aircraft

AU - Morales-Ferre, Ruben

AU - Richter, Philipp

AU - Falletti, Emanuela

AU - de la Fuente, Alberto

AU - Lohan, Elena Simona

PY - 2019/10/24

Y1 - 2019/10/24

N2 - Intentional interference in satellite navigation is becoming an increasing threat for modern systems relying on Global Navigation Satellite Systems (GNSS). In particular, critical applications such as aviation can be severely affected by undetected and un-mitigated interference and therefore interference management solutions are crucial to be employed. Methods to cope with such intentional interference enclose interference detection, interference mitigation, interference classification, and interference localization. This paper offers a comprehensive survey of interference management methods developed in the last four decades by the research community. After reviewing the main concepts of GNSS-based navigation, the interference and interference management solutions are classified, with a particular focus on the two major threats in GNSS navigation, namely jamming and spoofing. Mathematical models, comparative tables for various interference management solutions, such as detection, localization, mitigation, and classification, as well as comparative numerical results based on several selected algorithms are also presented. We especially focus on algorithms relying on omnidirectional antennas, which do not require additional specific antennas to be installed on the aircraft and thus reduce the costs of retrofit and installation.

AB - Intentional interference in satellite navigation is becoming an increasing threat for modern systems relying on Global Navigation Satellite Systems (GNSS). In particular, critical applications such as aviation can be severely affected by undetected and un-mitigated interference and therefore interference management solutions are crucial to be employed. Methods to cope with such intentional interference enclose interference detection, interference mitigation, interference classification, and interference localization. This paper offers a comprehensive survey of interference management methods developed in the last four decades by the research community. After reviewing the main concepts of GNSS-based navigation, the interference and interference management solutions are classified, with a particular focus on the two major threats in GNSS navigation, namely jamming and spoofing. Mathematical models, comparative tables for various interference management solutions, such as detection, localization, mitigation, and classification, as well as comparative numerical results based on several selected algorithms are also presented. We especially focus on algorithms relying on omnidirectional antennas, which do not require additional specific antennas to be installed on the aircraft and thus reduce the costs of retrofit and installation.

KW - Aircraft navigation

KW - Interference

KW - Aircraft

KW - Global navigation satellite system

KW - Jamming

KW - Global Positioning System

KW - aviation

KW - drones

KW - GNSS

KW - interference

KW - jamming

KW - meaconing

KW - satnav

KW - spoofing.

U2 - 10.1109/COMST.2019.2949178

DO - 10.1109/COMST.2019.2949178

M3 - Article

JO - IEEE Communications Surveys and Tutorials

JF - IEEE Communications Surveys and Tutorials

SN - 1553-877X

ER -