| Autor: |
Sherman Lo, Fabian Rothmaier, Dennis Akos, Damian Miralles, Todd Walter |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021). |
| ISSN: |
2331-5954 |
| Popis: |
Robust GNSS interference and spoof detection is a desirable feature to have in many receivers, particularly those used for safety or economically critical activities. Using the combination of automatic gain control (AGC) and carrier to noise ratio (C/No) measurements, collectively termed receiver power monitoring (RPM) is attractive as these metrics are both generally readily available and complimentary. However, detection tests need to be developed that can robustly utilize these measurements to provide detection of spoofing. This paper details the development of our RPM detection method. This method uses snapshot measurement of changes in RPM measures from nominal to identify spoofing from jamming and nominal conditions. A detection threshold line in the 2-D space of ?AGC and ?C/No is found to differentiate the cases. The paper discusses the challenges to using these measurements. It shows that the nominal value and variations in this metric is affected by many factors such as aircraft state (i.e. take-off, climb, in flight and approach). The paper outlines the specific steps to calculate the threshold line from empirical data. It shows a metric to quantify the strength of the detection in terms of distance from the threshold line. This provides a single quantitative detection output that allows the technique to integrate with other detection techniques. The threshold calculation is modified to develop a more practical threshold detection that incorporates uncertainty and known relationships between the RPM metrics. One practical improvement is that the technique may not need as much empirical data. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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