Research on Fingerprint and Hyperbolic Fusion Positioning Algorithm Based on 5G Technology
With the development of the Internet of Things technology, higher requirements are put forward for the positioning accuracy of objects. This paper presents an indoor fusion positioning algorithm based on the 5th Generation Mobile Communication Technology (5G), which effectively solves two problems....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/15/2405 |
| _version_ | 1797442423360585728 |
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| author | Zhiqiang Geng Jie Yang Zhiqiang Guo Hui Cao Lilian Leonidas |
| author_facet | Zhiqiang Geng Jie Yang Zhiqiang Guo Hui Cao Lilian Leonidas |
| author_sort | Zhiqiang Geng |
| collection | DOAJ |
| description | With the development of the Internet of Things technology, higher requirements are put forward for the positioning accuracy of objects. This paper presents an indoor fusion positioning algorithm based on the 5th Generation Mobile Communication Technology (5G), which effectively solves two problems. The first is that fingerprint positioning is susceptible to environmental changes and results in inaccurate fingerprint matching. The second is the problem of the hyperbolic positioning algorithm based on the line-of-sight fluctuating too much in complex indoor environments. This paper uses a 5G flexible subcarrier interval of Orthogonal Frequency Division Multiplexing (OFDM) to significantly reduce the time delay error of Time Of Arrival (TOA), and an improved genetic algorithm and the weighted hyperbolic algorithm are used to estimate the optimal position coordinates. In the offline database establishment stage of fingerprint positioning, the Channel State Information-reference signal (CSI-RS) of multiple-beam sets provides high-dimensional information for subsequent training and prediction. The online stage cooperates with the improved residual network model to make predictions. Finally, the positioning information and the error distribution function generated by the two positioning processes are simultaneously used as the input of the Kalman filter to obtain the precise position coordinates. The simulation results show that in complex indoor scenes where line-of-sight propagation and non-line-of-sight propagation paths are mixed, the accuracy of this method can reach below 0.82 m. Thus, the positioning accuracy is significantly improved compared with other methods, which can meet most indoor scene positioning needs. |
| first_indexed | 2024-03-09T12:41:38Z |
| format | Article |
| id | doaj.art-274bace118564f2db101b8afbcd4daea |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T12:41:38Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-274bace118564f2db101b8afbcd4daea2023-11-30T22:17:36ZengMDPI AGElectronics2079-92922022-08-011115240510.3390/electronics11152405Research on Fingerprint and Hyperbolic Fusion Positioning Algorithm Based on 5G TechnologyZhiqiang Geng0Jie Yang1Zhiqiang Guo2Hui Cao3Lilian Leonidas4School of Information Engineering, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, ChinaWith the development of the Internet of Things technology, higher requirements are put forward for the positioning accuracy of objects. This paper presents an indoor fusion positioning algorithm based on the 5th Generation Mobile Communication Technology (5G), which effectively solves two problems. The first is that fingerprint positioning is susceptible to environmental changes and results in inaccurate fingerprint matching. The second is the problem of the hyperbolic positioning algorithm based on the line-of-sight fluctuating too much in complex indoor environments. This paper uses a 5G flexible subcarrier interval of Orthogonal Frequency Division Multiplexing (OFDM) to significantly reduce the time delay error of Time Of Arrival (TOA), and an improved genetic algorithm and the weighted hyperbolic algorithm are used to estimate the optimal position coordinates. In the offline database establishment stage of fingerprint positioning, the Channel State Information-reference signal (CSI-RS) of multiple-beam sets provides high-dimensional information for subsequent training and prediction. The online stage cooperates with the improved residual network model to make predictions. Finally, the positioning information and the error distribution function generated by the two positioning processes are simultaneously used as the input of the Kalman filter to obtain the precise position coordinates. The simulation results show that in complex indoor scenes where line-of-sight propagation and non-line-of-sight propagation paths are mixed, the accuracy of this method can reach below 0.82 m. Thus, the positioning accuracy is significantly improved compared with other methods, which can meet most indoor scene positioning needs.https://www.mdpi.com/2079-9292/11/15/2405indoor positioning5Ghyperbolic positioningfingerprint algorithmKalman filtering |
| spellingShingle | Zhiqiang Geng Jie Yang Zhiqiang Guo Hui Cao Lilian Leonidas Research on Fingerprint and Hyperbolic Fusion Positioning Algorithm Based on 5G Technology Electronics indoor positioning 5G hyperbolic positioning fingerprint algorithm Kalman filtering |
| title | Research on Fingerprint and Hyperbolic Fusion Positioning Algorithm Based on 5G Technology |
| title_full | Research on Fingerprint and Hyperbolic Fusion Positioning Algorithm Based on 5G Technology |
| title_fullStr | Research on Fingerprint and Hyperbolic Fusion Positioning Algorithm Based on 5G Technology |
| title_full_unstemmed | Research on Fingerprint and Hyperbolic Fusion Positioning Algorithm Based on 5G Technology |
| title_short | Research on Fingerprint and Hyperbolic Fusion Positioning Algorithm Based on 5G Technology |
| title_sort | research on fingerprint and hyperbolic fusion positioning algorithm based on 5g technology |
| topic | indoor positioning 5G hyperbolic positioning fingerprint algorithm Kalman filtering |
| url | https://www.mdpi.com/2079-9292/11/15/2405 |
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