Attention based LSTM framework for robust UWB and INS integration in NLOS environments

Attention based LSTM framework for robust UWB and INS integration in NLOS environments

Abstract This paper proposes a novel UWB/INS integration framework that utilizes attention-based Long Short-Term Memory (LSTM) neural networks to address challenges related to UWB signal degradation during non-line-of-sight (NLOS) propagation. The network is adopted to generate pseudo measurements t...

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Bibliographic Details
Main Authors: Meilin Ren, Junyu Wei, Jiangyi Qin, Xiaojun Guo, Haowen Wang, Shiqi Li
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
UWB/INS integrated navigation system
NLOS
Attention mechanism
LSTM
Pseudo-observation
Online Access:https://doi.org/10.1038/s41598-025-05501-3
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https://doi.org/10.1038/s41598-025-05501-3

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