GNSS Spoofing Detection by Means of Signal Quality Monitoring (SQM) Metric Combinations

Sun, Chao; Cheong, Joon Wayn; Dempster, Andrew G.; Zhao, Hongbo; Feng, Wenquan

doi:10.1109/access.2018.2875948

Cited by 49 publications

(30 citation statements)

References 24 publications

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“…The NP theorem is adopted in GNSS signal processing to identify distortions in the correlation peak. By evaluating a metric or a combination of metrics (which characterize the signal quality) against a predefined threshold, this technique can be used to detect spoofed GNSS signals [127], [129]. In the literature, two metrics have been widely adopted for SQM, these are the Delta test metric and the Ratio test metric [130].…”

Section: Signal Statistic Analyzing Methodsmentioning

confidence: 99%

“…Furthermore, the results showed that the metrics selected had different characteristics and a joint detection approach was suggested. Since these SQM metrics are generally complementary [127], [129], a multimetric joint detection SQM technique (based on the ELP + Delta and ELP + Ratio test metrics) was presented in [129]. The authors evaluated two metric combination strategies: the Amplitude combination (AmpM) and the Probability of false alarm combination (PfaM), with the simulation results showing that the PfaM had a better performance with respect to spoofing detection.…”

Section: Signal Statistic Analyzing Methodsmentioning

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: Signal Statistic Analyzing Methodsmentioning

confidence: 99%

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

et al. 2021

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“…In this method, the receiver continuously monitors the powerrelated parameters, which may be abnormal when spoofing attacks are present. The power-related parameters include 0 CN (carrier-to-ratio) [20], Signal Quality Monitoring (SQM) [21], absolute power [22], and distribution verification of correlator output [23]. These technologies require the receiver to have high precision in measuring the received signal's parameters and complex hardware.…”

Section: Introductionmentioning

confidence: 99%

Research on Multi-Peak Detection of Small Delay Spoofing Signal

Ouyang

et al. 2020

IEEE Access

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With the widespread application of GNSS systems in various fields, the problem of spoofing detection has drawn much attention from the satellite navigation community. The GNSS spoofing interference generally uses fake or replayed satellite signals to make the targeted receivers receive false GNSS signals and reduce the accuracy of calculated position and time information. In order to ensure and improve the security of GNSS services, in recent years, academia and industry have studied the spoofing detection technology from multiple aspects, and many theoretical results have been obtained. This paper starts the analysis from the acquisition phase of a receiver and analyzes the characteristics of the smalldelay spoofing signal. Aiming at solving the problem that it is difficult to detect small-delay (0-2 chips) spoofed signals during the acquisition phase, the CNN (Convolutional Neural Network) based method is used to detect the small-delay spoofed signals effectively. According to the experimental simulation results, when the code phase difference between the spoofing signal and the authentic satellite signal is larger than 0.5 code chip, the CNN-based method achieves high detection accuracy. In addition, the algorithm can quickly detect the data without using any additional equipment. Therefore, low complexity is achieved. This makes the algorithm has a good engineering application prospect.INDEX TERMS Acquisition phase, convolutional neural network (CNN), GNSS spoofing detection, small delay.

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“…In [8], by employing independent, stand‐alone sensors, including IMU (inertial measurement unit) and Odometer, jamming/spoofing threat detection is performed. In [9], two combination strategies, namely amplitude combination mode and the probability of false alarm combination mode is proposed based on signal quality monitoring (SQM) method. In [10], detection and mitigation of wideband interference in high‐resolution airborne synthetic aperture radar are performed based on Negentropy statistical test.…”

Section: Introductionmentioning

confidence: 99%