Software Defined Radio for GNSS Radio Frequency Interference Localization.

global positioning system (GPS) radio direction finding software defined radio (SDR)

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
22 Dec 2023
Historique:
received: 21 10 2023
revised: 20 12 2023
accepted: 20 12 2023
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 11 1 2024
Statut: epublish

Résumé

The use of radio direction finding techniques in order to identify and reject harmful interference has been a topic of discussion both past and present for signals in the GNSS bands. Advances in commercial off-the-shelf radio hardware have led to the development of new low-cost, compact, phase coherent receiver platforms such as the KrakenSDR from KrakenRF whose testing and characterization will be the primary focus of this paper. Although not specifically designed for GNSSs, the capabilities of this platform are well aligned with the needs of GNSSs. Testing results from both benchtop and in the field will be displayed which verify the KrakenSDR's phase coherence and angle of arrival estimates to array dependent resolution bounds. Additionally, other outputs from the KrakenSDR such as received signal strength indicators and the angle of arrival confidence values show strong connections to angle of arrival estimate quality. Within this work the testing that will be primarily presented is at 900 MHz, with results presented from a government-sponsored event where the Kraken was tested at 1575.42 MHz. Finally, a discussion of calibration of active antenna arrays for angle of arrival is included as the introduction of active antenna elements used in GNSS signal collection can influence angle of arrival estimation.

Identifiants

pubmed: 38202934
pii: s24010072
doi: 10.3390/s24010072
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Fred Taylor (F)

Ann and H.J. Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO 80303, USA.

Evan Gattis (E)

Ann and H.J. Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO 80303, USA.

Lucca Trapani (L)

Ann and H.J. Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO 80303, USA.

Dennis Akos (D)

Ann and H.J. Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO 80303, USA.

Sherman Lo (S)

Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA.

Todd Walter (T)

Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA.

Yu-Hsuan Chen (YH)

Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA.

Classifications MeSH