GNSS interference detection, classification and localization using Software-Defined Radio

Bartl, Sascha; Berglez, Philipp; Hofmann-Wellenhof, Bernhard

doi:10.1109/euronav.2017.7954205

Cited by 17 publications

(14 citation statements)

References 3 publications

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“…Only continuous wave and narrowband interference were studied with this method in [88] and its applicability to other interference types is yet unknown. [140]- [142]: The C /N 0 is an important measure of the performance of a GNSS receiver, as it indicates undesired decreases in GNSS signal power or the increases in noise power per tracking channel. However, the C /N 0 may change due to several other reasons, such as deteriorated satellite visibility, which can easily mislead the detector [64], [76].…”

Section: Detection Techniques At Post-correlation or Link Levelmentioning

confidence: 99%

“…A jamming signal changes the C /N 0 as it contributes to the noise power, thus this allows to detect jamming. Several approaches were studied in the literature: the difference between C /N 0 and effective C /N 0 was used in [140], the binary hypothesis testing framework was exploited in [141], assuming the C /N 0 normally distributed, and Scaramuzza et al [142] analysed C /N 0 data, in combination with GPS satellite azimuth and elevation angle and as well roll, pitch, and yaw angles. C /N 0 monitoring is also a principal indicator for spoofing detection: a sudden upward jump of the C /N 0 level may indicate the onset of a powerful spoofing attack [64], [74], but also a sudden and concentrated fluctuation of its level may indicate a tracking peak shifting from the authentic to the fake signal [74], [76].…”

Section: Detection Techniques At Post-correlation or Link Levelmentioning

confidence: 99%

“…The DRSS techniques have been studied very little so far in the context of the interferer localization. For examples we refer to [15], [140], [186].…”

Section: Drssmentioning

confidence: 99%

See 2 more Smart Citations

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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Section: Detection Techniques At Post-correlation or Link Levelmentioning

confidence: 99%

Section: Detection Techniques At Post-correlation or Link Levelmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

“…Interference events in the global navigation satellite system (GNSS) frequency bands are increasing [ 1 , 2 , 3 , 4 , 5 ]. Hence, reliable interference mitigation methods are required to remove these undesired signals and ensure safe GNSS navigation.…”

Section: Introductionmentioning

confidence: 99%

HDDM Hardware Evaluation for Robust Interference Mitigation

Garzia

Merwe

Rügamer

et al. 2020

Sensors

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Interference can significantly degrade the performance of global navigation satellite system (GNSS) receivers. Therefore, mitigation methods are required to ensure reliable operations. However, as there are different types of interference, robust, multi-purpose mitigation algorithms are needed. This paper describes the most popular state-of-the-art interference mitigation techniques. The high-rate DFT-based data manipulator (HDDM) is proposed as a possible solution to overcome their limitations. This paper presents a hardware implementation of the HDDM algorithm. The hardware HDDM module is integrated in three different receivers equipped with analog radio-frequency (RF) front-ends supporting signals with different dynamic range. The resource utilization and power consumption is evaluated for the three cases. The algorithm is compared to a low-end mass-market receiver and a high-end professional receiver with basic and sophisticated interference mitigation capabilities, respectively. Different type of interference are used to compare the mitigation capabilities of the receivers under test. Results of the HDDM hardware implementation achieve the similar or improved performance to the state of the art. With more complex interferences, like frequency hopping or pulsed, the HDDM shows even better performance.

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“…The techniques for interference detection, localization, and classification can be applied at different stages of the GNSS receiver chain: Front-end (e.g., Automatic Gain Control (AGC) [ 21 ]), pre-correlation (e.g., power detectors such as Time Power Detector (TPD)/Frequency Power Detector (FPD) [ 22 , 23 ]), post-correlation (e.g., Carrier-to-Noise Ratio (

) monitoring [ 24 ]) or at navigation level (e.g., Sum of Squares detector [ 25 , 26 ]). This section focuses on techniques applied before correlation.…”

Section: Methods For Jamming Detection and Classificationmentioning

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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GNSS interference detection, classification and localization using Software-Defined Radio

Cited by 17 publications

References 3 publications

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

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

HDDM Hardware Evaluation for Robust Interference Mitigation

Collaborative Solutions for Interference Management in GNSS-Based Aircraft Navigation

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