The paper introduces an array zooming optimization using movable antennas that fuses multi-measurement observations to suppress false peaks and achieve better near-field localization accuracy than fixed arrays or CRB-based methods.
Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond,
2 Pith papers cite this work. Polarity classification is still indexing.
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A temporal graph neural network treats ISAC delay-Doppler maps as evolving graphs and solves multi-target tracking as temporal node classification, yielding lower NMSE than a Kalman filter baseline in ray-tracing simulations.
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Array Zooming Optimization for Near-Field Localization With Movable Antennas
The paper introduces an array zooming optimization using movable antennas that fuses multi-measurement observations to suppress false peaks and achieve better near-field localization accuracy than fixed arrays or CRB-based methods.
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Temporal Graph Neural Network for ISAC Target Detection and Tracking
A temporal graph neural network treats ISAC delay-Doppler maps as evolving graphs and solves multi-target tracking as temporal node classification, yielding lower NMSE than a Kalman filter baseline in ray-tracing simulations.