PERFORMANCE ASSESSMENT OF POSITIONING SOLUTIONS OF DIFFERENT MOBILE DEVICES USING KALMAN FILTERING
In this study, the performance of two different smart mobile devices is analysed and compared. These devices are either single-frequency or dual-frequency GNSS carrier frequency-enabled smartphones. Both selected devices are from the same manufacturer. They are the Pixel 3 and Pixel 4 from Google. T...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-05-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-1-W1-2023/451/2023/isprs-archives-XLVIII-1-W1-2023-451-2023.pdf |
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| author | I. Sivarasa J. Rajavarathan G. Retscher V. Abeyratne T. L. Dammalage J. Gabela V. Gikas |
| author_facet | I. Sivarasa J. Rajavarathan G. Retscher V. Abeyratne T. L. Dammalage J. Gabela V. Gikas |
| author_sort | I. Sivarasa |
| collection | DOAJ |
| description | In this study, the performance of two different smart mobile devices is analysed and compared. These devices are either single-frequency or dual-frequency GNSS carrier frequency-enabled smartphones. Both selected devices are from the same manufacturer. They are the Pixel 3 and Pixel 4 from Google. The smartphones were positioned on six control points in an open sky environment for which ground truth was determined with high-precision geodetic GNSS equipment serving as a reference. For the evaluation, a Kalman filter solution is derived and applied to be able to determine position information epoch-wise. In the first step, the position solution variations on the control points are determined and analyzed. It is seen that high variations may occur, especially in the single-frequency Pixel 3 where high variations were shown. As expected, these deviations are significantly smaller for the dualfrequency Pixel 4. Using the Kalman filter it is then proven that positioning of the few decimeter to meter level is achievable for the dual frequency smartphone. Thus, it has been shown that dual-frequency smartphones have already reached a good level of performance which opens up their use for some applications in surveying and especially in Location-based Services (LBS). |
| first_indexed | 2024-03-13T09:31:43Z |
| format | Article |
| id | doaj.art-ba274687c95440be81e1bfd35efff4e6 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-03-13T09:31:43Z |
| publishDate | 2023-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-ba274687c95440be81e1bfd35efff4e62023-05-26T00:43:14ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-05-01XLVIII-1-W1-202345145610.5194/isprs-archives-XLVIII-1-W1-2023-451-2023PERFORMANCE ASSESSMENT OF POSITIONING SOLUTIONS OF DIFFERENT MOBILE DEVICES USING KALMAN FILTERINGI. Sivarasa0J. Rajavarathan1G. Retscher2V. Abeyratne3T. L. Dammalage4J. Gabela5V. Gikas6Faculty of Geomatics, Sabaragamuwa University of Sri Lanka (SUSL), Belihuloya, Sri LankaFaculty of Geomatics, Sabaragamuwa University of Sri Lanka (SUSL), Belihuloya, Sri LankaDepartment of Geodesy and Geoinformation, TU Wien – Vienna University of Technology, Vienna, AustriaFaculty of Geomatics, Sabaragamuwa University of Sri Lanka (SUSL), Belihuloya, Sri LankaEstate and Built Environment, University of New England, AustraliaDepartment of Geodesy and Geoinformation, TU Wien – Vienna University of Technology, Vienna, AustriaSchool of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, GreeceIn this study, the performance of two different smart mobile devices is analysed and compared. These devices are either single-frequency or dual-frequency GNSS carrier frequency-enabled smartphones. Both selected devices are from the same manufacturer. They are the Pixel 3 and Pixel 4 from Google. The smartphones were positioned on six control points in an open sky environment for which ground truth was determined with high-precision geodetic GNSS equipment serving as a reference. For the evaluation, a Kalman filter solution is derived and applied to be able to determine position information epoch-wise. In the first step, the position solution variations on the control points are determined and analyzed. It is seen that high variations may occur, especially in the single-frequency Pixel 3 where high variations were shown. As expected, these deviations are significantly smaller for the dualfrequency Pixel 4. Using the Kalman filter it is then proven that positioning of the few decimeter to meter level is achievable for the dual frequency smartphone. Thus, it has been shown that dual-frequency smartphones have already reached a good level of performance which opens up their use for some applications in surveying and especially in Location-based Services (LBS).https://isprs-archives.copernicus.org/articles/XLVIII-1-W1-2023/451/2023/isprs-archives-XLVIII-1-W1-2023-451-2023.pdf |
| spellingShingle | I. Sivarasa J. Rajavarathan G. Retscher V. Abeyratne T. L. Dammalage J. Gabela V. Gikas PERFORMANCE ASSESSMENT OF POSITIONING SOLUTIONS OF DIFFERENT MOBILE DEVICES USING KALMAN FILTERING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | PERFORMANCE ASSESSMENT OF POSITIONING SOLUTIONS OF DIFFERENT MOBILE DEVICES USING KALMAN FILTERING |
| title_full | PERFORMANCE ASSESSMENT OF POSITIONING SOLUTIONS OF DIFFERENT MOBILE DEVICES USING KALMAN FILTERING |
| title_fullStr | PERFORMANCE ASSESSMENT OF POSITIONING SOLUTIONS OF DIFFERENT MOBILE DEVICES USING KALMAN FILTERING |
| title_full_unstemmed | PERFORMANCE ASSESSMENT OF POSITIONING SOLUTIONS OF DIFFERENT MOBILE DEVICES USING KALMAN FILTERING |
| title_short | PERFORMANCE ASSESSMENT OF POSITIONING SOLUTIONS OF DIFFERENT MOBILE DEVICES USING KALMAN FILTERING |
| title_sort | performance assessment of positioning solutions of different mobile devices using kalman filtering |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-1-W1-2023/451/2023/isprs-archives-XLVIII-1-W1-2023-451-2023.pdf |
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