Developing Test Scenarios for Assessing Receiver Capabilities & Vulnerabilities of GNSS Radio Frequency Interference Monitors
Sherman Lo, Yu Hsuan Chen, Nicolas Roberto San Miguel, Hagop Chinchinian, Todd Walter, Stanford University; Dennis Akos, University of Colorado, Boulder
Date/Time: Thursday, Sep. 14, 9:20 a.m.
As man-made and deliberate threats to global navigation satellite systems (GNSS) grow, it becomes increasing important to have an ability to quickly detect, characterize and even possibly localize GNSS radio frequency interference (RFI). Developing GNSS monitors capable of accurately and quickly detecting RFI (jamming and spoofing) require a means of testing both the hardware capabilities and the algorithms being created. In our past work, we described and utilized a set up to test GNSS equipment under RFI (San Miguel, et al., 2022, 2023, Chen, et al., 2023). This paper builds on that work with the final goal to develop a baseline set of spoofing and interference test scenarios to span both common and challenging potential threats. This allows us to assess the capabilities of our receiver/monitor and develop suitable algorithms. This paper will discuss what is needed for the baseline set and how we can build the set. The needed scenarios will depend on the purpose of the GNSS receiver. Since we want the scenarios widely accessible, publicly available sets are used when available supplemented by scenarios generated by Stanford to cover gaps. This paper discusses how these scenarios may be generated and what should be provided to allow for proper evaluation. Finally, it will show some simple example scenarios that we are developing to illustrate the benefits and challenges of producing good scenarios.
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