中文版 | English
Title

Self-Supervised Deep Location and Ranging Error Correction for UWB Localization

Author
Publication Years
2023
DOI
Source Title
ISSN
1530-437X
EISSN
1558-1748
VolumePPIssue:99Pages:1-1
Abstract
In this paper, we propose a self-supervised deep network that mainly applies location and ranging error corrections to a classical UWB localization approach to improve its accuracy. The core of this method is the self-supervised learning strategy which removes the requirement for ground-truth in the training process, and thus reduces the training cost of the method. To this end, we first use an existing classical UWB localization approach to provide an initial tag location, and then build a deep location and ranging error correction (DLRC) network to jointly estimate the tag position corrections and distance corrections. The self-supervised training strategy is built based on these regressed corrections and the initial tag position as well as the fixed anchor positions and raw ranging measurements, through the topological structure of the UWB sensors. Finally, the initial tag location can be corrected by the trained DLRC network. For this proposed method, it makes use of high-level representations of the UWB measurements by the deep network, while the geometric information important for UWB localization is also considered though the self-training strategy and the classical approach. Therefore, it can effectively improve the localization performance compared to the stat-of-the-art classical approach. This improvement is also verified by conducting real-world experiments.
Keywords
URL[Source Record]
Language
English
SUSTech Authorship
Others
ESI Research Field
ENGINEERING
Scopus EID
2-s2.0-85151560879
Data Source
Scopus
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10087287
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/524261
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
1.School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, China
2.School of Computer and Electronic Information, Nanjing Normal University, Nanjing, China
3.College of Information Science and Engineering, Hunan Normal University, Changsha, China
4.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China
Recommended Citation
GB/T 7714
Yang,Bo,Li,Jun,Shao,Zhanpeng,et al. Self-Supervised Deep Location and Ranging Error Correction for UWB Localization[J]. IEEE Sensors Journal,2023,PP(99):1-1.
APA
Yang,Bo,Li,Jun,Shao,Zhanpeng,&Zhang,Hong.(2023).Self-Supervised Deep Location and Ranging Error Correction for UWB Localization.IEEE Sensors Journal,PP(99),1-1.
MLA
Yang,Bo,et al."Self-Supervised Deep Location and Ranging Error Correction for UWB Localization".IEEE Sensors Journal PP.99(2023):1-1.
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