Hard Sample Meta-Learning for CIR NLOS Identification in UWB Positioning
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DOI: 10.1109/jiot.2025.3525722
Abstract: Nonline-of-sight (NLOS) identification is the key technique to improve the accuracy of the channel impulse response (CIR)-based ultrawideband (UWB) positioning system. However, most existing NLOS identification approaches are tailored to static environments and often encounter… read more here.
Keywords: nlos identification; hard sample; sample meta; identification ... See more keywords