GNSS Interference in Unmanned Aerial Systems

Wilde, Wim De; Cuypers, G.; Sleewaegen, Jean-Marie; Deurloo, Richard; Bougard, Bruno

doi:10.33012/2016.14674

Cited by 10 publications

(6 citation statements)

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“…The precision of navigation-related measurements is a highly critical issue for UAVs, especially for complex flight phases, such as landing. Landing demands great precision, since altitude inaccuracies can lead to inaccuracy on the landing spot, while meter-level navigation inaccuracies can also lead to collisions with surrounding objects [ 18 ]. Moreover, IMU measurements can be corrupted by noise and bias, resulting in unreliable pose estimates for long-term navigation, leading the UAV position estimation to diverge and drift over time [ 19 ].…”

Section: Measurements For Unmanned Systemsmentioning

confidence: 99%

Sensors and Measurements for Unmanned Systems: An Overview

Balestrieri

Daponte

Vito

et al. 2021

Sensors

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The advance of technology has enabled the development of unmanned systems/vehicles used in the air, on the ground or on/in the water. The application range for these systems is continuously increasing, and unmanned platforms continue to be the subject of numerous studies and research contributions. This paper deals with the role of sensors and measurements in ensuring that unmanned systems work properly, meet the requirements of the target application, provide and increase their navigation capabilities, and suitably monitor and gain information on several physical quantities in the environment around them. Unmanned system types and the critical environmental factors affecting their performance are discussed. The measurements that these kinds of vehicles can carry out are presented and discussed, while also describing the most frequently used on-board sensor technologies, as well as their advantages and limitations. The paper provides some examples of sensor specifications related to some current applications, as well as describing the recent research contributions in the field.

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Section: Measurements For Unmanned Systemsmentioning

confidence: 99%

Sensors and Measurements for Unmanned Systems: An Overview

Balestrieri

Daponte

Vito

et al. 2021

Sensors

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“…performing post-processing and signal evaluation, outputting either to a computer or a specific application [16]. Based on many studies from the past, the issue of GNSS interference defines two partial problems [17][18][19][20]. The first one is interference, which affects not only the air transport itself, but intelligent transport systems as well [21].…”

Section: Introductionmentioning

confidence: 99%

“…In the context of UAVs, this translates to a direct threat to their navigation capabilities, potentially leading to hazardous consequences [41]. Jamming, in the context of GNSS, involves broadcasting signals on the same Based on many studies from the past, the issue of GNSS interference defines two partial problems [17][18][19][20]. The first one is interference, which affects not only the air transport itself, but intelligent transport systems as well [21].…”

Section: Introductionmentioning

confidence: 99%

Global Navigation Satellite Systems Signal Vulnerabilities in Unmanned Aerial Vehicle Operations: Impact of Affordable Software-Defined Radio

Novák,

Kováčiková,

Kandera

et al. 2024

Drones

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Spoofing, alongside jamming of the Global Navigation Satellite System signal, remains a significant hazard during general aviation or Unmanned Aerial Vehicle operations. As aircraft utilize various support systems for navigation, such as INS, an insufficient Global Navigation Satellite System signal renders Unmanned Aerial Vehicles nearly uncontrollable, thereby posing increased danger to operations within airspace and to individuals on the ground. This paper primarily focuses on assessing the impact of the budget friendly Software-Defined Radio, HackRF One 1.0, on the safety of Unmanned Aerial Vehicles operations. Considering the widespread use of Software-Defined Radio devices today, with some being reasonably inexpensive, understanding their influence on Unmanned Aerial Vehicles safety is crucial. The generation of artificial interference capable of posing a potential threat in expanding Unmanned Aerial Vehicles airspace is deemed unacceptable.

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“…Jamming is a form of Denial of Service (DoS) attack usually performed using low cost devices, called jammers, that transmit significant power in the GNSS bands preventing signal reception (Borio et al, 2016; Gao et al, 2016). In order to cope with interference and jamming, receiver manufacturers are improving receiver design and adopting detection and mitigation techniques, which can enable GNSS signal reception even in the presence of significant levels of interference (De Wilde et al, 2015; Di Grazia et al, 2019; Willems & De Wilde, 2013). There exist several algorithms for interference mitigation, and the most popular ones are probably Pulse Blanking (PB) (Gao et al., 2013, 2016) for reducing the impact of pulsed interference and notch filtering (Borio et al, 2006; Calmettes et al, 2001) for Continuous Wave (CW) removal.…”

Section: Introductionmentioning

confidence: 99%

GNSS interference mitigation: A measurement and position domain assessment

Borio

Gioia

2020

Navigation

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Modern Global Navigation Satellite System (GNSS) receivers have to withstand significant levels of interference in order to operate under harsh conditions, such as in the presence of jamming and of other Radio Frequency (RF) threats. A possibility is to implement pre‐correlation interference mitigation techniques that operate directly on the samples provided by the receiver front‐end. This paper provides an assessment of five interference mitigation techniques at the measurement and position level. The analysis focuses on the Adaptive Notch Filter (ANF) and on four Robust Interference Mitigation (RIM) techniques. Several data collections were performed in the presence of jamming, and the data collected were used for the analysis that shows that RIM techniques do not introduce biases at both the measurement and position level. While the ANF delays pseudorange measurements, the biases introduced are predominantly common to all the observations with a negligible impact on a Single Point Positioning (SPP) solution.

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GNSS Interference in Unmanned Aerial Systems

Cited by 10 publications

References 0 publications

Sensors and Measurements for Unmanned Systems: An Overview

Sensors and Measurements for Unmanned Systems: An Overview

Global Navigation Satellite Systems Signal Vulnerabilities in Unmanned Aerial Vehicle Operations: Impact of Affordable Software-Defined Radio

GNSS interference mitigation: A measurement and position domain assessment

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