|Abstract:||The Global Navigation Satellite System (GNSS) is an important tool that is vulnerable to both intentional and unintentional radio frequency interference (RFI). This work seeks to develop a low-cost GNSS RFI monitor to detect and classify interference in an area. We present multiple signal combination-based jamming and spoofing experiments and provide an analysis of the results. Several simulated short duration jamming tests are applied to both L1 and L2 signals with four types of jamming interference, including continuous wave, narrowband jamming; broadband, additive white Gaussian noise jamming; chirp interference; and pulsed-chirp interference. A lift-off spoofing experiment combines real-time GNSS signals using two receive-only antennas and a programmable attenuator. The signals are processed using a low-cost u-blox F9P receiver and various power and signal quality metrics are analyzed. Specifically, the carrier-to-noise ratio (C/N0), the automatic gain control (AGC), and spectral analyses are useful for both identifying interference and classifying types of interference. Differences in power metric responses are observed depending on the characteristics and waveform of the jamming interference. Analyzing the position solution in addition to power metric and signal quality monitoring is found to be especially insightful in detecting the presented spoofing scenario. Our results characterize how the u-blox F9P receiver measures the several types of RFI and show the advantages of monitoring multiple metrics when monitoring for interference.|
Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022)
September 19 - 23, 2022
Hyatt Regency Denver
|Pages:||3463 - 3478|
|Cite this article:||
Miguel, Nicolas Roberto San, Chen, Yu-Hsuan, Lo, Sherman, Walter, Todd, Akos, Dennis, "Stress Testing of a Low-Cost GNSS RFI Monitor," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 3463-3478.
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