Deep Attention-Based Network Combing Geometric Information for UWB Localization in Complex Indoor Environments

Learning-based TOA-UWB localization methods have been developed rapidly in recent years and achieve state-of-the-art localization results in complex scenes. However, they still suffer from two drawbacks: 1) biased measurements with large noise are not suppressed effectively, and 2) geometric informa...

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Bibliographic Details
Main Authors: Kun Tang, Bo Yang, Kai Ding
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10445146/