MAGNETAR: Multipath-Guided Spatial Posteriors for Transmitter Pose Inference in the Upper Mid-Band

arXiv:2609.20670 · cs.RO, eess.SP · Submitted 2026-09-17 · Read on arXiv

cs.RO, eess.SP

Submitted: 2026-09-17

Updated: 2026-09-17

Project page: https://nvlabs.github.io/sionna

Terminology

• Calibration — 8× in this paper · explained in 7 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Digital Twin — 4× in this paper · explained in 4 episodes
• AUC — 3× in this paper · explained in 2 episodes
• Empirical Coverage — 2× in this paper · explained in 2 episodes
• Fingerprinting — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Signal-to-noise ratio (SNR) — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Sim-to-Real Transfer — 1× in this paper · explained in 2 episodes

Sources

• Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization
• LOCUS-DT: Localization via Observation-Conditioned Uncertainty Scoring with Digital Twins
• Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation

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