AI RESEARCH
SPOT: Single-Shot Positioning via Trainable Near-Field Rainbow Beamforming
arXiv CS.LG
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ArXi:2511.11391v3 Announce Type: replace Phase-time arrays, which integrate phase shifters (PSs) and true-time delays (TTDs), have emerged as a cost-effective architecture for generating frequency-dependent rainbow beams in wideband sensing and localization. This paper proposes an end-to-end deep learning-based scheme that simultaneously designs the rainbow beams and estimates user positions. Treating the PS and TTD coefficients as trainable variables allows the network to synthesize task-oriented beams that maximize localization accuracy.