Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm
This study proposes an indoor visible light localization technique incorporating the black-winged kite algorithm to address problems such as limited indoor localization accuracy. The black-winged kite algorithm is an intelligent optimization algorithm inspired by the hunting behavior of black-winged...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10856146/ |
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| author | Jiahui Wang Xiangqing Wang Chaochuan Jia Cui Yang |
| author_facet | Jiahui Wang Xiangqing Wang Chaochuan Jia Cui Yang |
| author_sort | Jiahui Wang |
| collection | DOAJ |
| description | This study proposes an indoor visible light localization technique incorporating the black-winged kite algorithm to address problems such as limited indoor localization accuracy. The black-winged kite algorithm is an intelligent optimization algorithm inspired by the hunting behavior of black-winged kites in nature, and it is designed to solve the problem of global optimization. The indoor visible light localization problem can be transformed into a problem of solving the optimal coordinates of the receiver globally. Combining the black-winged kite algorithm and the indoor visible light problem can effectively localize the receiver’s position accurately in a complex indoor environment. The simulation results show that in the indoor environment of 5m <inline-formula> <tex-math notation="LaTeX">$\times 5$ </tex-math></inline-formula>m <inline-formula> <tex-math notation="LaTeX">$\times 6$ </tex-math></inline-formula>m, the average error of 1.29cm and the maximum error of 6.29cm are achieved after 100 iterations and 90.02% of the average localization error is less than 2.39cm, the horizontal error is less than 2.20cm. The vertical error is 0.39cm, which realizes high-precision localization. The three-dimensional positioning error distribution map visualizes the distribution of the space error in space, further demonstrating the scheme’s effectiveness. It provides a new method for visible light indoor positioning technology. |
| format | Article |
| id | doaj-art-4ab9fa2d049641788d83e77f6a80a1fd |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4ab9fa2d049641788d83e77f6a80a1fd2025-02-05T00:00:52ZengIEEEIEEE Access2169-35362025-01-0113209602097310.1109/ACCESS.2025.353552810856146Indoor Visible Light 3D Localization System Based on Black Wing Kite AlgorithmJiahui Wang0https://orcid.org/0009-0007-0483-2823Xiangqing Wang1https://orcid.org/0009-0005-0901-4323Chaochuan Jia2Cui Yang3https://orcid.org/0009-0001-3905-946XSchool of Physics and Electronic Engineering, Fuyang Normal University, Fuyang, ChinaSchool of Physics and Electronic Engineering, Fuyang Normal University, Fuyang, ChinaSchool of Electronics and Information Engineering, West Anhui University, Lu’an, ChinaSchool of Physics and Electronic Engineering, Fuyang Normal University, Fuyang, ChinaThis study proposes an indoor visible light localization technique incorporating the black-winged kite algorithm to address problems such as limited indoor localization accuracy. The black-winged kite algorithm is an intelligent optimization algorithm inspired by the hunting behavior of black-winged kites in nature, and it is designed to solve the problem of global optimization. The indoor visible light localization problem can be transformed into a problem of solving the optimal coordinates of the receiver globally. Combining the black-winged kite algorithm and the indoor visible light problem can effectively localize the receiver’s position accurately in a complex indoor environment. The simulation results show that in the indoor environment of 5m <inline-formula> <tex-math notation="LaTeX">$\times 5$ </tex-math></inline-formula>m <inline-formula> <tex-math notation="LaTeX">$\times 6$ </tex-math></inline-formula>m, the average error of 1.29cm and the maximum error of 6.29cm are achieved after 100 iterations and 90.02% of the average localization error is less than 2.39cm, the horizontal error is less than 2.20cm. The vertical error is 0.39cm, which realizes high-precision localization. The three-dimensional positioning error distribution map visualizes the distribution of the space error in space, further demonstrating the scheme’s effectiveness. It provides a new method for visible light indoor positioning technology.https://ieeexplore.ieee.org/document/10856146/Indoor visible light communicationblack-winged kite algorithm3D localizationhigh accuracy |
| spellingShingle | Jiahui Wang Xiangqing Wang Chaochuan Jia Cui Yang Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm IEEE Access Indoor visible light communication black-winged kite algorithm 3D localization high accuracy |
| title | Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm |
| title_full | Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm |
| title_fullStr | Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm |
| title_full_unstemmed | Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm |
| title_short | Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm |
| title_sort | indoor visible light 3d localization system based on black wing kite algorithm |
| topic | Indoor visible light communication black-winged kite algorithm 3D localization high accuracy |
| url | https://ieeexplore.ieee.org/document/10856146/ |
| work_keys_str_mv | AT jiahuiwang indoorvisiblelight3dlocalizationsystembasedonblackwingkitealgorithm AT xiangqingwang indoorvisiblelight3dlocalizationsystembasedonblackwingkitealgorithm AT chaochuanjia indoorvisiblelight3dlocalizationsystembasedonblackwingkitealgorithm AT cuiyang indoorvisiblelight3dlocalizationsystembasedonblackwingkitealgorithm |