The vulnerability of Global Navigation Satellite Systems (GNSS) to jamming necessitates robust detection methods that can trigger before a receiver loses lock. This paper investigates a novel jamming detection technique based on spectral analysis of pseudorange noise. The method operates by comparing the high-frequency (0.15–0.5 Hz) energy of the pseudorangesignal during periods of suspected jamming to a baseline clean period. An energy increase beyond a defined threshold triggers a jamming declaration. The algorithm was evaluated using data from a controlled field trial. The best observed performance, achieved through selective satellite pairing, yielded a false positive rate of 6.2% and a false negative rate of 21.1%. However, these results are based on a limited dataset not originally intended for this analysis, leading to wide confidence intervals. We conclude that while the method shows significant promise, its performance is not yet fully characterized. Future work involvinglarger datasets, machine learning optimization, and fusion with other detection methods (e.g., C/N0 monitoring) is recommended to mature this approach into a reliable defensive tool.
Hislop et al. (Thu,) studied this question.