Low-cost COTS GNSS interference monitoring, detection, and classification system

van der Merwe J, Contreras Franco D, Hansen J, Brieger T, Feigl T, Ott F, Dorsaf J, Ruegamer A, Felber W (2023)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2023

Journal

Sensors MDPI

Book Volume: 23

Pages Range: 1-42

Article Number: 7

Conference Proceedings Title: Proc. Intl. Conf. IEEE Wireless Communications and Networking Conference (WCNC)

Event location: Austin, Texas US

Journal Issue: 7

DOI: 10.3390/s23073452

Open Access Link: https://doi.org/10.3390/s23073452

Abstract

Interference signals cause position errors and outages to global navigation satellite system (GNSS) receivers. However, to solve these problems, the interference source must be detected, classified, its purpose determined, and localized to eliminate it. Several interference monitoring solutions exist, but these are expensive, resulting in fewer nodes that may miss spatially sparse interference signals. This article introduces a low-cost commercial-off-the-shelf (COTS) GNSS interference monitoring, detection, and classification receiver. It employs machine learning (ML) on tailored signal pre-processing of the raw signal samples and GNSS measurements to facilitate a generalized, high-performance architecture that does not require human-in-the-loop (HIL) calibration. Therefore, the low-cost receivers with high performance can justify significantly more receivers being deployed, resulting in a significantly higher probability of intercept (POI). The architecture of the monitoring system is described in detail in this article, including an analysis of the energy consumption and optimization. Controlled interference scenarios demonstrate detection and classification capabilities exceeding conventional approaches. The ML results show that accurate and reliable detection and classification are possible with COTS hardware.

Authors with CRIS profile

Johannes van der Merwe Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation) Tobias Feigl Lehrstuhl für Informatik 2 (Programmiersysteme)

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE)

How to cite

APA:

van der Merwe, J., Contreras Franco, D., Hansen, J., Brieger, T., Feigl, T., Ott, F.,... Felber, W. (2023). Low-cost COTS GNSS interference monitoring, detection, and classification system. Sensors, 23(7), 1-42. https://doi.org/10.3390/s23073452

MLA:

van der Merwe, Johannes, et al. "Low-cost COTS GNSS interference monitoring, detection, and classification system." Sensors 23.7 (2023): 1-42.

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