A Novel Array-Based Spoofing and Jamming Suppression Method for GNSS Receiver

Hu, Yanfeng; Bian, Shaofeng; Bao, Li; Zhou, Lei

doi:10.1109/jsen.2018.2797309

Cited by 64 publications

(29 citation statements)

References 28 publications

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“…The primary simulation parameters are shown in Table 1. Figure 3, the red line is the adaptive array direction diagram of the proposed AJ-AS algorithm, the black line is the adaptive International Journal of Antennas and Propagation 5 array direction diagram of the spoofing and jamming suppression method (SJSM) [28], and the blue line is the adaptive array direction diagram of the SP [30] antijamming algorithm. The coloured lines show the directions of the authentic PRNs, the spoofer, and the jammer.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Therefore, it is theoretically feasible to use nine element arrays to process six degrees of freedom beamforming in the simulation. Both the AJ-AS and the SJSM can form a deep null steering beam in the directions of the jammer (approximately -40 dB) and the spoofer (approximately -36 dB) and multibeamform to the four authentic PRNs' directions, but the SJSM has a small attenuation (approximately -2 dB) in the directions of PRN18 and PRN25 [28]. This attenuation occurs because the SJSM approximates the cross-correlation matrix of the current signal and the delay signal and ignores the effects of navigation data bit jump.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The hypothesis test theory was applied to the open spoofing dataset TEXBAT to verify the detection correctness by Gamba [25]. Some researchers [26][27][28] proposed a spatial correlation detection algorithm under the motion of a singleantenna receiver to reduce the possibility of spoofing by dynamic receivers and proposed the spoofing cancellation algorithm. However, while the above methods based on single-antenna focus on spoofing detection, little work has been done on spoofing suppression.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

Yang

Zhang

Tang

et al. 2019

International Journal of Antennas and Propagation

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The Global Positioning System (GPS), with its accurate positioning and timing information, has become a commonly used navigation instrument for many applications. However, it is susceptible to intentional interference such as jamming and spoofing. The conventional antijamming GPS receiver fails to work in a combined jamming and spoofing attack scenario. To solve the problem, a combined antijamming and antispoofing algorithm for a GPS receiver based on an antenna array is proposed. In this method, the jamming is eliminated by subspace projection, and then a compressed sensing framework is adopted to obtain the direction of arrival (DOA) of the despreading satellite navigation signal and detect the spoofing signal. According to the DOA of the authentic and spoofing signals, the receiver uses adaptive multibeamforming to concurrently achieve the undistorted reception of the authentic satellite signal and the suppression of the spoofing. We analyse three aspects of algorithmic performance: the antenna array direction diagram, the spoofing detection and the acquisition results. The simulation results and their analysis preliminarily show that the proposed method can detect and suppress GPS jamming and spoofing effectively.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

Yang

Zhang

Tang

et al. 2019

International Journal of Antennas and Propagation

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“…Moreover, the framework presented was able to detect and mitigate spoofing signals. The enhancement offered through multiple antennas is attainable since the signals impinging on an array have spatial features which can be manipulated to mitigate spoofing from an EM propagation point of view [138].…”

Section: Antenna Based Methodsmentioning

confidence: 99%

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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“…• Spoofing detection maybe based on estimated direction-of-arrival of the GNSS signals [22][23][24][25][26][27][28][29][30][31].…”

Section: Spatial Signal Processing Techniquesmentioning

confidence: 99%

Statistical test for GNSS spoofing attack detection by using multiple receivers on a rigid body

Kalantari

Larsson

2020

EURASIP J. Adv. Signal Process.

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Global navigation satellite systems (GNSS) are being the target of various jamming, spoofing, and meaconing attacks. This paper proposes a new statistical test for the presence of multiple spoofers based on range measurements observed by a plurality of receivers located on a rigid body platform. The relative positions of the receivers are known, but the location and orientation of the platform are unknown. The test is based on the generalized likelihood ratio test (GLRT) paradigm and essentially performs a consistency check between the set of observed range measurements and known information about the satellite topology and the geometry of the receiver constellation. Optimal spoofing locations and optimal artificial time delays (as induced by the spoofers) are also determined. Exact evaluation of the GLRT requires the maximum-likelihood estimates of all parameters, which proves difficult. Instead, approximations based on iterative algorithms and the squared-range least squares algorithm are derived. The accuracy of these approximations is benchmarked against Cramér-Rao lower bounds. Numerical examples demonstrate the effectiveness of the proposed algorithm and show that increasing the number of GNSS receivers makes the attack easier to detect. We also show that using multiple GNSS receivers limits the availability of optimal attack positions.

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A Novel Array-Based Spoofing and Jamming Suppression Method for GNSS Receiver

Cited by 64 publications

References 28 publications

A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

Statistical test for GNSS spoofing attack detection by using multiple receivers on a rigid body

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