Precise and Fast GNSS Signal Direction of Arrival Estimation

Wang, Zhuozhi; O’Keefe, Kyle; Guo, Jian; Gill, Eberhard

doi:10.1017/s0373463313000453

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Once a subset of

counterfeit signals is identified, then an adaptation and redundant implementation of the Precise and Fast (PAF) algorithm shown in [ 35 ] is employed to estimate the azimuth of the spoofing source with respect to the antenna frame [ 36 ]. The formulation adopted here employs the SD code and carrier phase equations of all the same-source signals along two baselines

and

.…”

Section: Methods For Spoofing Detection and Direction Findingmentioning

confidence: 99%

Collaborative Solutions for Interference Management in GNSS-Based Aircraft Navigation

Nicola

Falco

Ferre

et al. 2020

Sensors

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Nowadays, the Global Navigation Satellite Systems (GNSS) technology is not the primary means of navigation for civil aviation and Air Traffic Control, but its role is increasing. Consequently, the vulnerabilities of GNSSs to Radio Frequency Interference, including the dangerous intentional sources of interference (i.e., jamming and spoofing), raise concerns and special attention also in the aviation field. This panorama urges for figuring out effective solutions able to cope with GNSS interference and preserve safety of operations. In the frame of a Single European Sky Air traffic management Research (SESAR) Exploratory Research initiative, a novel, effective, and affordable concept of GNSS interference management for civil aviation has been developed. This new interference management concept is able to raise early warnings to the on-board navigation system about the detection of interfering signals and their classification, and then to estimate the Direction of Arrival (DoA) of the source of interference allowing the adoption of appropriate countermeasures against the individuated source. This paper describes the interference management concept and presents the on-field tests which allowed for assessing the reached level of performance and confirmed the applicability of this approach to the aviation applications.

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“…Once a subset of

and

.…”

Section: Methods For Spoofing Detection and Direction Findingmentioning

confidence: 99%

Collaborative Solutions for Interference Management in GNSS-Based Aircraft Navigation

Nicola

Falco

Ferre

et al. 2020

Sensors

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A Survey on Coping With Intentional Interference in Satellite Navigation for Manned and Unmanned Aircraft

Ferre

Richter

Falletti

et al. 2020

IEEE Commun. Surv. Tutorials

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Intentional interference in satellite navigation is becoming an increasing threat for modern systems relying on Global Navigation Satellite Systems (GNSS). In particular, critical applications such as aviation can be severely affected by undetected and un-mitigated interference and therefore interference management solutions are crucial to be employed. Methods to cope with such intentional interference enclose interference detection, interference mitigation, interference classification, and interference localization. This paper offers a comprehensive survey of interference management methods developed in the last four decades by the research community. After reviewing the main concepts of GNSS-based navigation, the interference and interference management solutions are classified, with a particular focus on the two major threats in GNSS navigation, namely jamming and spoofing. Mathematical models, comparative tables for various interference management solutions, such as detection, localization, mitigation, and classification, as well as comparative numerical results based on several selected algorithms are also presented. We especially focus on algorithms relying on omnidirectional antennas, which do not require additional specific antennas to be installed on the aircraft and thus reduce the costs of retrofit and installation.

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GNSS Navigation Threats Management on-Board of Aircraft

et al. 2019

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This paper proposes low-complexity measures to be deployed on most aircraft to enable the management of Global Navigation Satellite Systems (GNSS) interference, and in particularly of jamming and spoofing threats, in order to reach the Flightpath2050 safety and security targets. It is known that, if there is a jamming interference and GNSS navigation is lost, a disruption will be caused, requiring the likely intervention of Air Traffic Control. Also, the presence of a spoofing signal is a serious security threat with a potentially catastrophic impact on the safety of the aircraft and on any other ground infrastructure. Through our jamming and spoofing detection and localization stages, based on minimal additional infrastructure, we will reduce the time required to detect and localize an interfering source and, therefore, the time required to mitigate it and restore the nominal traffic operations. Our solutions will also improve the safety of the Air Traffic Management system. Moreover, the deployment of our solution, with its capability of localizing an interfering device, could be a deterrent to any agent interested in intentionally generating a jamming or spoofing signal, and so will reduce the likelihood of this type of interference events.

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Precise and Fast GNSS Signal Direction of Arrival Estimation

Cited by 4 publications

References 17 publications

Collaborative Solutions for Interference Management in GNSS-Based Aircraft Navigation

Collaborative Solutions for Interference Management in GNSS-Based Aircraft Navigation

A Survey on Coping With Intentional Interference in Satellite Navigation for Manned and Unmanned Aircraft

GNSS Navigation Threats Management on-Board of Aircraft

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