Combining Dilution of Precision and Kalman Filtering for UWB Positioning in a Narrow Space
Affected by the spatial environment, the accuracy and stability of ultra-wideband (UWB) positioning in a narrow space are significantly lower than those in the general indoor environment, which limits navigation and positioning services in a complex scene. To improve the positioning accuracy and sta...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/21/5409 |
| _version_ | 1797466581980151808 |
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| author | Yunjian Guo Weihong Li Guang Yang Zhenhang Jiao Jiachen Yan |
| author_facet | Yunjian Guo Weihong Li Guang Yang Zhenhang Jiao Jiachen Yan |
| author_sort | Yunjian Guo |
| collection | DOAJ |
| description | Affected by the spatial environment, the accuracy and stability of ultra-wideband (UWB) positioning in a narrow space are significantly lower than those in the general indoor environment, which limits navigation and positioning services in a complex scene. To improve the positioning accuracy and stability of a narrow space, this study proposed a positioning algorithm by combining Kalman filter (KF) and dilution of precision (DOP). Firstly, we calculated the DOP values of the target narrow space by changing the location of the test nodes throughout the space. Secondly, the initial coordinate values of the test nodes were calculated by the weighted least squares (WLS) positioning algorithm and were used as the observation values of KF. Finally, the DOP values were adaptively introduced into KF to update the coordinates of the nodes to be tested. The proposed algorithm was tested in two narrow scenes with different length–width ratios. The experimental results showed that the DOP values of the narrow space were much higher than that of the wide space. Furthermore, even if the ranging error was low, the positioning error was high in the narrow space. The proposed fusion positioning algorithm reported a higher positioning accuracy in the narrow space, and the higher DOP values of the scene, the greater the accuracy improvement of the algorithm. This study reveals that no matter how the base stations are configured, the DOP values of the narrow space are much higher than that of the wide space, thus causing larger positioning errors. The proposed positioning algorithm can effectively suppress the positioning error caused by the narrow spatial structure, so as to improve the positioning accuracy and stability. |
| first_indexed | 2024-03-09T18:41:48Z |
| format | Article |
| id | doaj.art-2220edfe84d4478b8a147f4d68e7b6e3 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T18:41:48Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-2220edfe84d4478b8a147f4d68e7b6e32023-11-24T06:38:34ZengMDPI AGRemote Sensing2072-42922022-10-011421540910.3390/rs14215409Combining Dilution of Precision and Kalman Filtering for UWB Positioning in a Narrow SpaceYunjian Guo0Weihong Li1Guang Yang2Zhenhang Jiao3Jiachen Yan4School of Geography, South China Normal University, Guangzhou 510631, ChinaSchool of Geography, South China Normal University, Guangzhou 510631, ChinaBeidou Research Institute, South China Normal University, Guangzhou 510631, ChinaThe State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430072, ChinaSchool of Geography, South China Normal University, Guangzhou 510631, ChinaAffected by the spatial environment, the accuracy and stability of ultra-wideband (UWB) positioning in a narrow space are significantly lower than those in the general indoor environment, which limits navigation and positioning services in a complex scene. To improve the positioning accuracy and stability of a narrow space, this study proposed a positioning algorithm by combining Kalman filter (KF) and dilution of precision (DOP). Firstly, we calculated the DOP values of the target narrow space by changing the location of the test nodes throughout the space. Secondly, the initial coordinate values of the test nodes were calculated by the weighted least squares (WLS) positioning algorithm and were used as the observation values of KF. Finally, the DOP values were adaptively introduced into KF to update the coordinates of the nodes to be tested. The proposed algorithm was tested in two narrow scenes with different length–width ratios. The experimental results showed that the DOP values of the narrow space were much higher than that of the wide space. Furthermore, even if the ranging error was low, the positioning error was high in the narrow space. The proposed fusion positioning algorithm reported a higher positioning accuracy in the narrow space, and the higher DOP values of the scene, the greater the accuracy improvement of the algorithm. This study reveals that no matter how the base stations are configured, the DOP values of the narrow space are much higher than that of the wide space, thus causing larger positioning errors. The proposed positioning algorithm can effectively suppress the positioning error caused by the narrow spatial structure, so as to improve the positioning accuracy and stability.https://www.mdpi.com/2072-4292/14/21/5409UWBnarrow spaceKalman filterdilution of precisionfusion positioning algorithm |
| spellingShingle | Yunjian Guo Weihong Li Guang Yang Zhenhang Jiao Jiachen Yan Combining Dilution of Precision and Kalman Filtering for UWB Positioning in a Narrow Space Remote Sensing UWB narrow space Kalman filter dilution of precision fusion positioning algorithm |
| title | Combining Dilution of Precision and Kalman Filtering for UWB Positioning in a Narrow Space |
| title_full | Combining Dilution of Precision and Kalman Filtering for UWB Positioning in a Narrow Space |
| title_fullStr | Combining Dilution of Precision and Kalman Filtering for UWB Positioning in a Narrow Space |
| title_full_unstemmed | Combining Dilution of Precision and Kalman Filtering for UWB Positioning in a Narrow Space |
| title_short | Combining Dilution of Precision and Kalman Filtering for UWB Positioning in a Narrow Space |
| title_sort | combining dilution of precision and kalman filtering for uwb positioning in a narrow space |
| topic | UWB narrow space Kalman filter dilution of precision fusion positioning algorithm |
| url | https://www.mdpi.com/2072-4292/14/21/5409 |
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