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Jia-Ying Li

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#artificial intelligence Preprint Sep 2026

Reliable Near-Field Multi-User Positioning Informed by Two-Stage MUSIC

Numerical results show that the proposed MUSIC-Net achieves lower mean positioning error (MPER) than existing benchmarks and yields tighter SCP-calibrated prediction regions, demonstrating both accurate LoS localization and efficient uncertainty quantification (UQ) in coherent multi-path environments.

Jia-Ying Li, Hai-Feng Wen, Chang-Sheng You et al. · 0 citations

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