A graph neural network with a learned confidence-based fusion of a weighted-centroid prior localizes jamming sources in simulated wireless networks, outperforming classical and learning-based baselines.
In: 2019 IEEE National Aerospace and Electronics Conference (NAECON)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Graph Neural Networks for Jamming Source Localization
A graph neural network with a learned confidence-based fusion of a weighted-centroid prior localizes jamming sources in simulated wireless networks, outperforming classical and learning-based baselines.