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.
International Journal of Antennas and Propagation2019(1), 1523469 (2019)
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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.