Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization
Recently, visible light communication (VLC) has gradually become a research hotspot in indoor environments because its advantages of illumination and relative high positioning accuracy. But unfortunately, in the matter of algorithm complexity and positioning accuracy, most existing VLC-based systems...
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2017-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/8106665/ |
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| author | Ye Cai Weipeng Guan Yuxiang Wu Canyu Xie Yirong Chen Liangtao Fang |
| author_facet | Ye Cai Weipeng Guan Yuxiang Wu Canyu Xie Yirong Chen Liangtao Fang |
| author_sort | Ye Cai |
| collection | DOAJ |
| description | Recently, visible light communication (VLC) has gradually become a research hotspot in indoor environments because its advantages of illumination and relative high positioning accuracy. But unfortunately, in the matter of algorithm complexity and positioning accuracy, most existing VLC-based systems fail to deliver satisfactory performance. Moreover, the majority of visible light positioning algorithm in them are based on two-dimensional (2-D) plane. In addition, some of the systems realize 3-D positioning on the base of various sensors or hybrid complex algorithm. These methods greatly reduce the robustness of VLC system. To solve these problems, a novel VLC positioning system based on modified particle swarm optimization (PSO) algorithm is put forward in this article. PSO is a powerful population-based stochastic approach to solve the global optimization problems, such as VLC-based indoor positioning, which can be transformed into a global optimization problem. Our simulation shows that the average distance error is 3.9 mm within 20 iterations in an indoor environment of <inline-formula><tex-math notation="LaTeX"> ${\text{3}\,\text{m}}\times \text{3}\,{\text{m}}\times \text{4}\,{\text{m}}$</tex-math></inline-formula>. And the positioning results prove that this system can prove high localization accuracy and significantly lower the algorithm complexity. Moreover, in the experiment, we come up with a solution that using Kalman filter to deal with the unstable received signals. Our experiment result proves the mentioned system satisfies the requirement of cm-level indoor positioning. Therefore, this scheme may be considered as one of the competitive indoor positioning candidates in the future. |
| format | Article |
| id | doaj-art-32b4bc8feffb484383a53eee0f72e46a |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-32b4bc8feffb484383a53eee0f72e46a2025-08-20T03:33:10ZengIEEEIEEE Photonics Journal1943-06552017-01-019612010.1109/JPHOT.2017.27718288106665Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm OptimizationYe Cai0Weipeng Guan1https://orcid.org/0000-0003-4518-7852Yuxiang Wu2Canyu Xie3https://orcid.org/0000-0001-6936-525XYirong Chen4https://orcid.org/0000-0002-0207-0067Liangtao Fang5https://orcid.org/0000-0001-9487-3686South China University of Technology, Guangzhou, Guangdong, ChinaSouth China University of Technology, Guangzhou, Guangdong, ChinaSouth China University of Technology, Guangzhou, Guangdong, ChinaSchool of Materials Science and Engineering, South China University of Technology, Guangzhou, Guangdong, ChinaSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, ChinaSouth China University of Technology, Guangzhou, Guangdong, ChinaRecently, visible light communication (VLC) has gradually become a research hotspot in indoor environments because its advantages of illumination and relative high positioning accuracy. But unfortunately, in the matter of algorithm complexity and positioning accuracy, most existing VLC-based systems fail to deliver satisfactory performance. Moreover, the majority of visible light positioning algorithm in them are based on two-dimensional (2-D) plane. In addition, some of the systems realize 3-D positioning on the base of various sensors or hybrid complex algorithm. These methods greatly reduce the robustness of VLC system. To solve these problems, a novel VLC positioning system based on modified particle swarm optimization (PSO) algorithm is put forward in this article. PSO is a powerful population-based stochastic approach to solve the global optimization problems, such as VLC-based indoor positioning, which can be transformed into a global optimization problem. Our simulation shows that the average distance error is 3.9 mm within 20 iterations in an indoor environment of <inline-formula><tex-math notation="LaTeX"> ${\text{3}\,\text{m}}\times \text{3}\,{\text{m}}\times \text{4}\,{\text{m}}$</tex-math></inline-formula>. And the positioning results prove that this system can prove high localization accuracy and significantly lower the algorithm complexity. Moreover, in the experiment, we come up with a solution that using Kalman filter to deal with the unstable received signals. Our experiment result proves the mentioned system satisfies the requirement of cm-level indoor positioning. Therefore, this scheme may be considered as one of the competitive indoor positioning candidates in the future.https://ieeexplore.ieee.org/document/8106665/Visible light communication (VLC)indoor positioning systems (IPS)particle swarm optimization (PSO)positioning accuracysimulated annealing (SA). |
| spellingShingle | Ye Cai Weipeng Guan Yuxiang Wu Canyu Xie Yirong Chen Liangtao Fang Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization IEEE Photonics Journal Visible light communication (VLC) indoor positioning systems (IPS) particle swarm optimization (PSO) positioning accuracy simulated annealing (SA). |
| title | Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization |
| title_full | Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization |
| title_fullStr | Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization |
| title_full_unstemmed | Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization |
| title_short | Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization |
| title_sort | indoor high precision three dimensional positioning system based on visible light communication using particle swarm optimization |
| topic | Visible light communication (VLC) indoor positioning systems (IPS) particle swarm optimization (PSO) positioning accuracy simulated annealing (SA). |
| url | https://ieeexplore.ieee.org/document/8106665/ |
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