JaGuard recasts GNSS jamming mitigation as dynamic graph regression and uses a Heterogeneous Graph ConvLSTM to estimate 2D positional deviation, achieving MAEs of 2.26-2.61 cm on mixed-power real datasets and remaining stable under severe jamming and data starvation.
Biswas, Cyber security in power grid networks, at the crossover domain intersection, in: 2024 IEEE 5th India Council International Subsections Conference (INDISCON), IEEE, 2024, pp
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JaGuard: Position Error Correction of GNSS Jamming with Deep Temporal Graphs
JaGuard recasts GNSS jamming mitigation as dynamic graph regression and uses a Heterogeneous Graph ConvLSTM to estimate 2D positional deviation, achieving MAEs of 2.26-2.61 cm on mixed-power real datasets and remaining stable under severe jamming and data starvation.