Optimization of Positioning Error and Time for UWB and Virtual-Real Scenes Similarity Measure Based on Error Model
To overcome the problem of large UWB positioning errors caused by obstacles and other factors in the complex environment of substations, a positioning method combining UWB and virtual-real scene similarity measures is proposed, which effectively improves the positioning accuracy of substation operat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10068214/ |
| _version_ | 1797839162374619136 |
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| author | Jie Li Shugong Gao Dong Lei |
| author_facet | Jie Li Shugong Gao Dong Lei |
| author_sort | Jie Li |
| collection | DOAJ |
| description | To overcome the problem of large UWB positioning errors caused by obstacles and other factors in the complex environment of substations, a positioning method combining UWB and virtual-real scene similarity measures is proposed, which effectively improves the positioning accuracy of substation operation and maintenance personnel. To further improve the positioning accuracy of the operation and maintenance personnel in the complex environment of the substation, and reduce the positioning time, this paper analyzes the influence of the virtual scene image acquisition step (x, y, yaw, pitch) on the positioning error. Firstly, the mathematical relationship between the step size parameter and the positioning error as well as the positioning time is quantified using the spatial geometric relationship and probability error theory, and the spatial error model of the fusion positioning algorithm is established; then, based on the established spatial error model, the acquisition step size and the positioning error and positioning time have been optimized to make the positioning time the shortest under the conditions of allowable positioning error. The experimental results show that the spatial error model established in this paper has high accuracy and the optimization results are reliable; the spatial error model is used to optimize the acquisition step parameters, which can ensure the UWB and virtual-real scenes similarity measurement fusion positioning algorithm with positioning error less than 0.2 m (with confidence greater than 0.95) and positioning time of 0.173 s, which significantly improves the positioning speed. |
| first_indexed | 2024-04-09T15:53:41Z |
| format | Article |
| id | doaj.art-1afb76caa2c1477abe77e8efc6388d58 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-09T15:53:41Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1afb76caa2c1477abe77e8efc6388d582023-04-25T23:00:15ZengIEEEIEEE Access2169-35362023-01-0111374503746010.1109/ACCESS.2023.325653110068214Optimization of Positioning Error and Time for UWB and Virtual-Real Scenes Similarity Measure Based on Error ModelJie Li0https://orcid.org/0009-0004-4159-8886Shugong Gao1Dong Lei2Yunnan Power Grid Company Ltd. Honghe Power Supply, Mengzi, ChinaYunnan Power Grid Company Ltd. Honghe Gejiu Power Supply, Gejiu, ChinaYunnan Power Grid Company Ltd. Honghe Power Supply, Mengzi, ChinaTo overcome the problem of large UWB positioning errors caused by obstacles and other factors in the complex environment of substations, a positioning method combining UWB and virtual-real scene similarity measures is proposed, which effectively improves the positioning accuracy of substation operation and maintenance personnel. To further improve the positioning accuracy of the operation and maintenance personnel in the complex environment of the substation, and reduce the positioning time, this paper analyzes the influence of the virtual scene image acquisition step (x, y, yaw, pitch) on the positioning error. Firstly, the mathematical relationship between the step size parameter and the positioning error as well as the positioning time is quantified using the spatial geometric relationship and probability error theory, and the spatial error model of the fusion positioning algorithm is established; then, based on the established spatial error model, the acquisition step size and the positioning error and positioning time have been optimized to make the positioning time the shortest under the conditions of allowable positioning error. The experimental results show that the spatial error model established in this paper has high accuracy and the optimization results are reliable; the spatial error model is used to optimize the acquisition step parameters, which can ensure the UWB and virtual-real scenes similarity measurement fusion positioning algorithm with positioning error less than 0.2 m (with confidence greater than 0.95) and positioning time of 0.173 s, which significantly improves the positioning speed.https://ieeexplore.ieee.org/document/10068214/Error modeloptimizationpositioning errorsimilarity measurementUWB positioningvirtual-real scenes |
| spellingShingle | Jie Li Shugong Gao Dong Lei Optimization of Positioning Error and Time for UWB and Virtual-Real Scenes Similarity Measure Based on Error Model IEEE Access Error model optimization positioning error similarity measurement UWB positioning virtual-real scenes |
| title | Optimization of Positioning Error and Time for UWB and Virtual-Real Scenes Similarity Measure Based on Error Model |
| title_full | Optimization of Positioning Error and Time for UWB and Virtual-Real Scenes Similarity Measure Based on Error Model |
| title_fullStr | Optimization of Positioning Error and Time for UWB and Virtual-Real Scenes Similarity Measure Based on Error Model |
| title_full_unstemmed | Optimization of Positioning Error and Time for UWB and Virtual-Real Scenes Similarity Measure Based on Error Model |
| title_short | Optimization of Positioning Error and Time for UWB and Virtual-Real Scenes Similarity Measure Based on Error Model |
| title_sort | optimization of positioning error and time for uwb and virtual real scenes similarity measure based on error model |
| topic | Error model optimization positioning error similarity measurement UWB positioning virtual-real scenes |
| url | https://ieeexplore.ieee.org/document/10068214/ |
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