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Open AccessFeature PaperArticle

Huber’s Non-Linearity for GNSS Interference Mitigation

1
European Commission, Joint Research Centre (JRC) Directorate for Space, Security and Migration; Via Enrico Fermi 2749, 21027 Ispra (VA), Italy
2
Northeastern University, Electrical and Computer Engineering Department, 360 Huntington Ave, Boston, MA 02115, USA
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in D. Borio, Haoqing Li, Pau Closas (2018) “Huber’s Non-Linearity for Robust Transformed Domain GNSS Signal Processing”, Proceedings of the 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+), Miami, FL, USA, 24–28 September 2018.
Sensors 2018, 18(7), 2217; https://doi.org/10.3390/s18072217
Received: 13 June 2018 / Revised: 6 July 2018 / Accepted: 8 July 2018 / Published: 10 July 2018
(This article belongs to the Special Issue GNSS and Fusion with Other Sensors)
Satellite-based navigation is prevalent in both commercial applications and critical infrastructures, providing precise position and time referencing. As a consequence, interference to such systems can have repercussions on a plethora of fields. Additionally, Privacy Preserving Devices (PPD)—jamming devices—are relatively inexpensive and easy to obtain, potentially denying the service in a wide geographical area. Current jamming mitigation technology is based on interference cancellation approaches, requiring the detection and estimation of the interference waveform. Recently, the Robust Interference Mitigation (RIM) framework was proposed, which leverages results in robust statistics by treating the jamming signal as an outlier. It has the advantage of rejecting jamming signals without detecting or estimating its waveform. In this paper, we extend the framework to situations where the jammer is sparse in some transformed domain other than the time domain. Additionally, we analyse the use of Huber’s non-linearity within RIM and derive its loss of efficiency. We compare its performance to state-of-the-art techniques and to other RIM solutions, with both synthetic and real signals, showing remarkable results. View Full-Text
Keywords: GNSS; Huber’s non-linearity; interference; jamming; robustness; M-estimator GNSS; Huber’s non-linearity; interference; jamming; robustness; M-estimator
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Borio, D.; Li, H.; Closas, P. Huber’s Non-Linearity for GNSS Interference Mitigation . Sensors 2018, 18, 2217.

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