Phase-time arrays with geometry-aware estimators and neural fusion achieve robust multistatic UAV localization with sub-meter accuracy and low hardware cost.
Joint phase-time arrays: A paradigm for frequency-dependent analog beamforming in 6G
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
An end-to-end trainable near-field rainbow beamforming scheme enables single-shot 2D positioning with lower overhead and error than prior analytical or learning methods.
citing papers explorer
-
Phase-Time Array Enabled Multistatic Sensing with Multi-Level Fusion for UAV Localization
Phase-time arrays with geometry-aware estimators and neural fusion achieve robust multistatic UAV localization with sub-meter accuracy and low hardware cost.
-
SPOT: Single-Shot Positioning via Trainable Near-Field Rainbow Beamforming
An end-to-end trainable near-field rainbow beamforming scheme enables single-shot 2D positioning with lower overhead and error than prior analytical or learning methods.