GNSS Jamming and Its Effect on Air Traffic in Eastern Europe

Figuet, Benoit; Waltert, Manuel; Felux, Michael; Olivé, Xavier

doi:10.3390/engproc2022028012

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…As a consequence, awareness about the risk posed by the intentional RFI to GNSS on many non-GNSS applications in the so-called domino effect is nowadays much more than consolidated [ 4 , 5 ]. Unsurprisingly, several newspaper and public reports, e.g., [ 6 , 7 , 8 , 9 , 10 , 11 , 12 ], to cite a few, witness incidents due to the two major threats, namely jamming and spoofing.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the narrow RF band is incompatible with modern wideband signals, such as the Galileo E5 a/b OS signals, which require a minimum bandwidth (double-sided) of at least 20 MHz [ 41 ]. Additionally, it is known that in order to implement advanced detection (and mitigation) techniques, a higher number of quantization bits is recommended [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 ]. High-bit-count analog-to-digital converters (ADCs) (at least 4 quantization bits) allow for a higher fidelity of the recorded signal; consequently, improved performance on classification and localization is also expected [ 43 , 44 , 45 ].…”

Section: Introductionmentioning

confidence: 99%

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GNSS Radio Frequency Interference Monitoring from LEO Satellites: An In-Laboratory Prototype

Troglia Gamba,

Polidori,

Minetto

et al. 2024

Sensors

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The disruptive effect of radio frequency interference (RFI) on global navigation satellite system (GNSS) signals is well known, and in the last four decades, many have been investigated as countermeasures. Recently, low-Earth orbit (LEO) satellites have been looked at as a good opportunity for GNSS RFI monitoring, and the last five years have seen the proliferation of many commercial and academic initiatives. In this context, this paper proposes a new spaceborne system to detect, classify, and localize terrestrial GNSS RFI signals, particularly jamming and spoofing, for civil use. This paper presents the implementation of the RFI detection software module to be hosted on a nanosatellite. The whole development work is described, including the selection of both the target platform and the algorithms, the implementation, the detection performance evaluation, and the computational load analysis. Two are the implemented RFI detectors: the chi-square goodness-of-fit (GoF) algorithm for non-GNSS-like interference, e.g., chirp jamming, and the snapshot acquisition for GNSS-like interference, e.g., spoofing. Preliminary testing results in the presence of jamming and spoofing signals reveal promising detection capability in terms of sensitivity and highlight room to optimize the computational load, particularly for the snapshot-acquisition-based RFI detector.

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