GNSS spoofing detection based on new signal quality assessment model

Hu, Yanfeng; Bian, Shaofeng; Cao, Kejin; Ji, Bing

doi:10.1007/s10291-017-0693-7

Cited by 30 publications

(26 citation statements)

References 17 publications

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“…The authors showed that if the receiver is able to detect changes in the noise floor, this enhanced capability can be combined with C/N o discrimination to detect spoofed PRNs. A similar technique that characterises the noise floor is presented in [44]. The method presented is quite robust provided that the code phase difference between the authentic and spoofed PRNs is > 1.5 chips.…”

Section: Signal Statistic Analyzing Methodsmentioning

confidence: 99%

“…It is noteworthy that spoofing attacks are dynamic and there are no spoofing countermeasure techniques that are able to work in all scenarios. Consequently, it is essential that the end user considers the cost, complexity and other factors based on a given use case scenario [44].…”

Section: Antenna Based Methodsmentioning

confidence: 99%

“…Due to RF propagation effects, GNSS signals are vulnerable to specific threats such as ionospheric delays and RF interference phenomena [35], [42], [43]. Some GNSS performance challenges exist even prior to signal transmission, for example clock errors and signal modulation faults [44]. GNSS signals can also be affected by space weather as seen in the case of space storms and are exposed to multiple conventional cyber threats [45].…”

Section: Current and Future Gnss Vulnerabilitiesmentioning

confidence: 99%

“…Given that GNSS signals received by users on the earth's surface have an extremely low signal strength, they are susceptible to RF interference which can result in a direct impact on the performance of the navigation system [44], [46]. These interference sources could either be unintentional or intentional [2], [46], [105].…”

Section: Intentional and Unintentional Threats To Gnssmentioning

confidence: 99%

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GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

et al. 2021

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This literature review paper focuses on existing vulnerabilities associated with global navigation satellite systems (GNSSs). With respect to the civilian/non encrypted GNSSs, they are employed for proving positioning, navigation and timing (PNT) solutions across a wide range of industries. Some of these include electric power grids, stock exchange systems, cellular communications, agriculture, unmanned aerial systems and intelligent transportation systems. In this survey paper, physical degradations, existing threats and solutions adopted in academia and industry are presented. In regards to GNSS threats, jamming and spoofing attacks as well as detection techniques adopted in the literature are surveyed and summarized. Also discussed are multipath propagation in GNSS and non line-of-sight (NLoS) detection techniques. The review also identifies and discusses open research areas and techniques which can be investigated for the purpose of enhancing the robustness of GNSS.

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Section: Signal Statistic Analyzing Methodsmentioning

confidence: 99%

Section: Antenna Based Methodsmentioning

confidence: 99%

Section: Current and Future Gnss Vulnerabilitiesmentioning

confidence: 99%

Section: Intentional and Unintentional Threats To Gnssmentioning

confidence: 99%

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GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

et al. 2021

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“…Monitoring a received signal's power, carrier noise ratio and noise level can also be used to detect spoofing [9][10][11]. A new signal-quality assessment model has been proposed to detect and identify spoofing [12] that can work well even when the strength of a received signal's spoofing and authentic signal are very close to each other. However, the performance of this algorithm may deteriorate when the code phase differences between authentic signals and spoofing signals are <1.5 chips and the Doppler frequency differences between authentic signals and spoofing signals are relatively small.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Spoofing Suppression Algorithm for GNSS Based on Multiple Antennas Array

Fan

Gan

et al. 2020

Sensors

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The signals of navigation satellites are easily affected by spoofing interference, causing the wrong position, speed or Universal Time Coordinate of the receiver to be calculated. Traditional detection and suppression algorithms are used only to eliminate the spoofing signals, which may lead to an insufficient number of satellites for positioning. An adaptive spoofing suppression algorithm (ASSA) based on a multiple antenna array is proposed in this study. The ASSA can use the cross-correlation gain of multiple antenna array to adaptively generate nulling and realize the simultaneous suppression of multiple spoofing signals. Moreover, ASSA does not need to capture and track spoofing separately, thus reducing the complexity of implementation and calculation. Experiments were conducted to verify the proposed system under different conditions, and the results show that ASSA can suppress multiple spoofings with little impact on positioning performance. Under the condition of spoofing, ASSAs were (2.22 m, 2.41 m, 4.43 m) in the static test and (2.27 m, 2.43 m, 4.64 m) in the kinematic test, which are good positioning performances for both. In addition, the ASSA is applied before capturing signals, which is beneficial to identifying and eliminating spoofing earlier and faster.

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LSTM Network Based Spoofing Detection and Recognition in a GNSS Receiver

Zhang

Wei

et al. 2020

China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume III

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GNSS spoofing detection based on new signal quality assessment model

Cited by 30 publications

References 17 publications

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

Adaptive Spoofing Suppression Algorithm for GNSS Based on Multiple Antennas Array

LSTM Network Based Spoofing Detection and Recognition in a GNSS Receiver

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