Van Der Merwe JR, Contreras DF, Jdidi D, Feigl T, Ruegamer A, Felber W (2022)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2022
Pages Range: 1-8
Conference Proceedings Title: Proc. Intl. Conf. on Localization and GNSS (ICL-GNSS)
DOI: 10.1109/ICL-GNSS54081.2022.9797025
Interference signals cause position errors and outages to GNSS receivers. However, to solve these problems, the interference needs to be detected, classified, its purpose determined, and localized, such that it can be eliminated. Several interference monitoring solutions exist, but these are expensive, resulting in fewer nodes that may miss spatially sparse interference signals. This paper introduces a low-cost COTS GNSS interference monitoring, detection, and classification receiver. It employs ML on tailored signal pre-possessing of the raw signal samples and GNSS measurements to facilitate a generalized, high-performance architecture that does not require calibration. Therefore, the low-cost receivers with high performance can justify significantly more receivers to be deployed, resulting in a significantly higher POI. The initial results of controlled interference scenarios demonstrate detection and classification capabilities exceeding conventional approaches.
APA:
Van Der Merwe, J.R., Contreras, D.F., Jdidi, D., Feigl, T., Ruegamer, A., & Felber, W. (2022). Low-cost COTS GNSS interference detection and classification platform: Initial results. In Proc. Intl. Conf. on Localization and GNSS (ICL-GNSS) (pp. 1-8). Tampere, FI.
MLA:
Van Der Merwe, Johannes Rossouw, et al. "Low-cost COTS GNSS interference detection and classification platform: Initial results." Proceedings of the Intl. Conf. on Localization and GNSS (ICL-GNSS), Tampere 2022. 1-8.
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