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GNSS jammer localization and identification with airborne commercial GNSS receivers
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS. (Networked Systems Security (NSS) Group)ORCID iD: 0000-0001-8919-0098
Wingtra AG, Zërich, Switzerland.
Wingtra AG, Zërich, Switzerland.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS. (Networked Systems Security (NSS) Group)ORCID iD: 0000-0002-3267-5374
2025 (English)In: IEEE Transactions on Information Forensics and Security, ISSN 1556-6013, E-ISSN 1556-6021, Vol. 20, p. 3550-3565Article in journal (Refereed) Published
Abstract [en]

Global Navigation Satellite Systems (GNSS) are fundamental in ubiquitously providing position and time to a wide gamut of systems. Jamming remains a realistic threat in many deployment settings, civilian and tactical. Specifically, in Unmanned Aerial Vehicles (UAVs) sustained denial raises safety critical concerns. This work presents a strategy that allows detection, localization, and classification both in the frequency and time domain of interference signals harmful to navigation. A high-performance Vertical Take Off and Landing (VTOL) UAV with a single antenna and a commercial GNSS receiver is used to geolocate and characterize RF emitters at long range, to infer the navigation impairment. Raw IQ baseband snapshots from the GNSS receiver make the application of spectral correlation methods possible without extra software-defined radio payload, paving the way to spectrum identification and monitoring in airborne platforms, aiming at RF situational awareness. Live testing at Jammertest, in Norway, with portable, commercially available GNSS multi-band jammers demonstrates the ability to detect, localize, and characterize harmful interference. Our system pinpointed the position with an error of a few meters of the transmitter and the extent of the affected area at long range, without entering the denied zone. Additionally, further spectral content extraction is used to accurately identify the jammer frequency, bandwidth, and modulation scheme based on spectral correlation techniques.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. Vol. 20, p. 3550-3565
National Category
Signal Processing Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-361264DOI: 10.1109/tifs.2025.3550050ISI: 001457502700002Scopus ID: 2-s2.0-105002263966OAI: oai:DiVA.org:kth-361264DiVA, id: diva2:1944723
Funder
Swedish Research Council, 2020-04621
Note

QC 20250520

Available from: 2025-03-14 Created: 2025-03-14 Last updated: 2025-05-20Bibliographically approved
In thesis
1. Data verification for GNSS systems and protection of GNSS services
Open this publication in new window or tab >>Data verification for GNSS systems and protection of GNSS services
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

 Global Navigation Satellite Systems (GNSS) provide ubiquitous precise localization and synchronization for a wide gamut of applications, spanning from location-based service to core industrial functionalities in communications and large infrastructure. Civilian use of GNSS relies on publicly available signals and infrastructure designed to operate at a high level of interoperability. Nevertheless, such systems proved to be vulnerable to voluntary and involuntary interference aiming to deny, modify, and falsify the GNSS-provided solution. This poses a significant threat to the robustness of satellite-based timing and localization. A decreasing entry threshold from the knowledge and tools accessibility perspective makes mounting such attacks feasible and effective even against low-value targets. In this work, this issue is targeted, with a practical approach, from three directions, by cross-checking the navigation solution with alternative providers of time, by localizing the interference source and characterizing it, and by relying on specific receiver dynamics to eliminate falsified signals. We discuss protection mechanisms targeting the consumer market based on available infrastructure or on sensing supported by sensors embedded in the GNSS-enabled platform itself. These efforts collectively aim to improve the robustness of consumer GNSS solutions, without modifying the GNSS receiver or the signal structure, to provide secure and reliable navigation and timing in an increasingly adversarial environment.

Abstract [sv]

Globala system för satellitnavigering (eng. global navigation satellite systems, GNSS) tillhandahåller allestädes närvarande precis platsbestämning och synkronisering för ett brett spann av tillämpningar, från platsbaserade tjänster till industriella kärnfunktioner i kommunikation och stora infrastrukturer. Civil användning av GNSS förlitar sig på allmänt tillgängliga signaler och infrastruktur som är designad att användas på en hög nivå av interoperabilitet. Dessa system har visat sig sårbara för störningar som söker att neka, modifiera och falsifiera GNSS-lösningar. Detta utgör ett allvarligt hot mot tillförlitligheten av satellitbaserad tids- och platsbestämning. En sänkning av tröskeln för tillgängligheten av kunskap och verktyg gör det möjligt och effektivt att inleda sådana attacker, även mot lågvärdesmål. I detta verk angrips problemet praktiskt via tre tillvägagångssätt: genom dubbelkontroll av navigationslösningen med alternativa internettidsleverantörer, genom lokalisering av störningskällan och karaktärisera den, och genom att förlita sig på specifik mottagardynamik för att eliminera falsifierade signaler. Vi diskuterar skyddsmekanismer ämnade för konsumentmarknaden baserat på tillgänglig infrastruktur eller m.h.a. mätningar från inbyggda sensorer i GNSS-plattformen i sig. Dessa ansträngningar söker att gemensamt förbättra tillförlitligheten hos konsument GNSS-lösningar, utan att modifiera GNSS-mottagaren eller signalstrukturen, för att erbjuda säker ochpålitlig navigation och tid i enalltmer fientlig miljö

Place, publisher, year, edition, pages
Stockholm, Sweden: KTH Royal Institute of Technology, 2025. p. xxvi, 62
Series
TRITA-EECS-AVL ; 2025:36
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-361272 (URN)978-91-8106-231-1 (ISBN)
Public defence
2025-04-15, https://kth-se.zoom.us/j/62121217840, Sal C, Kistagången 16, Stockholm, 14:00 (English)
Opponent
Supervisors
Note

QC 20250317

Available from: 2025-03-17 Created: 2025-03-17 Last updated: 2025-03-25Bibliographically approved

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