Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms
Aiming at the problems of low positioning accuracy and poor stability in multi⁃effect and non⁃line⁃of⁃sight conditions, a new indoor positioning system Chan⁃Taylor⁃Unscented Kalman Filter (C⁃T⁃UKF) combined positioning algorithm is designed based on the time of flight positioning algorithm, combined...
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| Format: | Article |
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Editorial Department of Journal of Liaoning Petrochemical University
2025-04-01
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| Series: | Liaoning Shiyou Huagong Daxue xuebao |
| Subjects: | |
| Online Access: | https://journal.lnpu.edu.cn/CN/10.12422/j.issn.1672-6952.2025.02.012 |
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| _version_ | 1849426034838994944 |
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| author | Dongning WANG Yueyang HUANG Yuanbo SHI |
| author_facet | Dongning WANG Yueyang HUANG Yuanbo SHI |
| author_sort | Dongning WANG |
| collection | DOAJ |
| description | Aiming at the problems of low positioning accuracy and poor stability in multi⁃effect and non⁃line⁃of⁃sight conditions, a new indoor positioning system Chan⁃Taylor⁃Unscented Kalman Filter (C⁃T⁃UKF) combined positioning algorithm is designed based on the time of flight positioning algorithm, combined with the Chan⁃Taylor (C⁃T) cooperative positioning algorithm, and fused with the Unscented Kalman Filter (UKF) algorithm. The system mainly consists of positioning base stations, positioning tags, wireless communication systems and upper computers, etc. The Chan algorithm is adopted to calculate the distance measured by the time of flight method, and the calculated coordinates are used as the initial value of the Taylor algorithm for iterative calculation. The iterative results are smoothed by the Unscented Kalman algorithm. The results show that the positioning system based on this algorithm has the characteristics of high accuracy, strong stability and low cost. The average positioning errors in line⁃of⁃sight and non⁃line⁃of⁃sight conditions are less than 0.17 m and 0.20 m respectively, and it can be applied to high⁃precision positioning scenarios. |
| format | Article |
| id | doaj-art-d2dbd2ec0f274c808b538a36db62c205 |
| institution | Kabale University |
| issn | 1672-6952 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | Editorial Department of Journal of Liaoning Petrochemical University |
| record_format | Article |
| series | Liaoning Shiyou Huagong Daxue xuebao |
| spelling | doaj-art-d2dbd2ec0f274c808b538a36db62c2052025-08-20T03:29:34ZzhoEditorial Department of Journal of Liaoning Petrochemical UniversityLiaoning Shiyou Huagong Daxue xuebao1672-69522025-04-01452909610.12422/j.issn.1672-6952.2025.02.012Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion AlgorithmsDongning WANG0Yueyang HUANG1Yuanbo SHI2School of Information and Control Engineering，Liaoning Petrochemical Univercity，Fushun Liaoning 113001，ChinaSchool of Information and Control Engineering，Liaoning Petrochemical Univercity，Fushun Liaoning 113001，ChinaSchool of Artificial Intelligence and Software，Liaoning Petrochemical Univercity，Fushun Liaoning 113001，ChinaAiming at the problems of low positioning accuracy and poor stability in multi⁃effect and non⁃line⁃of⁃sight conditions, a new indoor positioning system Chan⁃Taylor⁃Unscented Kalman Filter (C⁃T⁃UKF) combined positioning algorithm is designed based on the time of flight positioning algorithm, combined with the Chan⁃Taylor (C⁃T) cooperative positioning algorithm, and fused with the Unscented Kalman Filter (UKF) algorithm. The system mainly consists of positioning base stations, positioning tags, wireless communication systems and upper computers, etc. The Chan algorithm is adopted to calculate the distance measured by the time of flight method, and the calculated coordinates are used as the initial value of the Taylor algorithm for iterative calculation. The iterative results are smoothed by the Unscented Kalman algorithm. The results show that the positioning system based on this algorithm has the characteristics of high accuracy, strong stability and low cost. The average positioning errors in line⁃of⁃sight and non⁃line⁃of⁃sight conditions are less than 0.17 m and 0.20 m respectively, and it can be applied to high⁃precision positioning scenarios.https://journal.lnpu.edu.cn/CN/10.12422/j.issn.1672-6952.2025.02.012indoor positioningtime of flightunscented kalman filternon⁃line of sight |
| spellingShingle | Dongning WANG Yueyang HUANG Yuanbo SHI Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms Liaoning Shiyou Huagong Daxue xuebao indoor positioning time of flight unscented kalman filter non⁃line of sight |
| title | Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms |
| title_full | Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms |
| title_fullStr | Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms |
| title_full_unstemmed | Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms |
| title_short | Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms |
| title_sort | research on tof⁃based uwb indoor positioning technology and fusion algorithms |
| topic | indoor positioning time of flight unscented kalman filter non⁃line of sight |
| url | https://journal.lnpu.edu.cn/CN/10.12422/j.issn.1672-6952.2025.02.012 |
| work_keys_str_mv | AT dongningwang researchontofbaseduwbindoorpositioningtechnologyandfusionalgorithms AT yueyanghuang researchontofbaseduwbindoorpositioningtechnologyandfusionalgorithms AT yuanboshi researchontofbaseduwbindoorpositioningtechnologyandfusionalgorithms |