UWB (N)LOS Identification Based on Deep Learning and Transfer Learning-Reference-Cited by-同舟云学术

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UWB (N)LOS Identification Based on Deep Learning and Transfer Learning

Published:2024-09 Issue:9 Volume:28 Page:2111-2115
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Li Jianglong¹^ORCID,Liu Songlin²^ORCID,Gao Yipin¹,Lv Yunzhu²,Wei Hua³

Affiliation:

1. School of Computer Science, Qufu Normal University, Rizhao, China

2. People’s Liberation Army Strategic Support Force, Institute of Geospatial Information, PLA Information Engineering University, Zhengzhou, China

3. School of Foreign Languages, Henan University of Technology, Zhengzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4234/10678774/10599493.pdf?arnumber=10599493

Reference17 articles.

1. A Survey of Indoor Localization Systems and Technologies

2. A Survey on Fusion-Based Indoor Positioning

3. A Novel NLOS Mitigation Algorithm for UWB Localization in Harsh Indoor Environments

4. A Non-Line-of-Sight Mitigation Method for Indoor Ultra-Wideband Localization With Multiple Walls

5. Machine Learning for Wideband Localization

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