Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine
Photodiode-based (PD-based) visible light positioning (VLP) has become a research focus of indoor positioning technology, while the existing VLP models rarely consider the anti-interference and positioning time of that. In this paper, indoor real-time three-dimensional visible light positioning syst...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8941046/ |
| _version_ | 1818616918845685760 |
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| author | Yirong Chen Weipeng Guan Jingyi Li Hongzhan Song |
| author_facet | Yirong Chen Weipeng Guan Jingyi Li Hongzhan Song |
| author_sort | Yirong Chen |
| collection | DOAJ |
| description | Photodiode-based (PD-based) visible light positioning (VLP) has become a research focus of indoor positioning technology, while the existing VLP models rarely consider the anti-interference and positioning time of that. In this paper, indoor real-time three-dimensional visible light positioning system using fingerprinting and extreme learning machine (ELM) is proposed to make the system achieve not only high positioning accuracy and elevated anti-interference but also well-behaved real-time ability. In contrast to the positioning system based on K-Nearest Neighbor or Support Vector Machine, the proposed system achieves the highest positioning accuracy and the state-of-the-art positioning speed. Furthermore, the visible light positioning kernel is proposed as a method to reduce the size of the fingerprint database and thus reduce the training time exponentially. Both the simulation and the experiment results show that the proposed system achieves real-time 3-D positioning with high anti-interference. Therefore, this scheme can be considered as one of the effective methods for indoor 3-D positioning. |
| first_indexed | 2024-12-16T16:57:26Z |
| format | Article |
| id | doaj.art-f8b70911c45241c798dfbfa215ae5c16 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T16:57:26Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f8b70911c45241c798dfbfa215ae5c162022-12-21T22:23:50ZengIEEEIEEE Access2169-35362020-01-018138751388610.1109/ACCESS.2019.29619398941046Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning MachineYirong Chen0https://orcid.org/0000-0002-0207-0067Weipeng Guan1https://orcid.org/0000-0002-0734-0636Jingyi Li2https://orcid.org/0000-0001-8901-7279Hongzhan Song3https://orcid.org/0000-0002-4916-3295School of Electronic and Information Engineering, South China University of Technology, Guangzhou, ChinaDepartment of Information Engineering, The Chinese University of Hong Kong, Hong KongSchool of Automation Science and Engineering, South China University of Technology, Guangzhou, ChinaSchool of Automation Science and Engineering, South China University of Technology, Guangzhou, ChinaPhotodiode-based (PD-based) visible light positioning (VLP) has become a research focus of indoor positioning technology, while the existing VLP models rarely consider the anti-interference and positioning time of that. In this paper, indoor real-time three-dimensional visible light positioning system using fingerprinting and extreme learning machine (ELM) is proposed to make the system achieve not only high positioning accuracy and elevated anti-interference but also well-behaved real-time ability. In contrast to the positioning system based on K-Nearest Neighbor or Support Vector Machine, the proposed system achieves the highest positioning accuracy and the state-of-the-art positioning speed. Furthermore, the visible light positioning kernel is proposed as a method to reduce the size of the fingerprint database and thus reduce the training time exponentially. Both the simulation and the experiment results show that the proposed system achieves real-time 3-D positioning with high anti-interference. Therefore, this scheme can be considered as one of the effective methods for indoor 3-D positioning.https://ieeexplore.ieee.org/document/8941046/Extreme learning machine (ELM)photodiode (PD)positioning fingerprintreal-time positioningvisible light positioning (VLP) |
| spellingShingle | Yirong Chen Weipeng Guan Jingyi Li Hongzhan Song Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine IEEE Access Extreme learning machine (ELM) photodiode (PD) positioning fingerprint real-time positioning visible light positioning (VLP) |
| title | Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine |
| title_full | Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine |
| title_fullStr | Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine |
| title_full_unstemmed | Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine |
| title_short | Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine |
| title_sort | indoor real time 3 d visible light positioning system using fingerprinting and extreme learning machine |
| topic | Extreme learning machine (ELM) photodiode (PD) positioning fingerprint real-time positioning visible light positioning (VLP) |
| url | https://ieeexplore.ieee.org/document/8941046/ |
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