A HEADING CONSTRAINT CALIBRATION METHOD FOR LOW-END INERTIAL MEASUREMENT UNITS
The calibration result of the IMU has a strong impact on the accuracy of inertial navigation and its integration with other navigation techniques. Thus, how to efficiently obtain high-precision IMU calibration results is an important research problem for localization and motion tracking with consume...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-3-W1-2022/235/2022/isprs-archives-XLVI-3-W1-2022-235-2022.pdf |
| _version_ | 1818147483444838400 |
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| author | Y. Xue X. Guo Z. Zheng Y. Li Y. Li |
| author_facet | Y. Xue X. Guo Z. Zheng Y. Li Y. Li |
| author_sort | Y. Xue |
| collection | DOAJ |
| description | The calibration result of the IMU has a strong impact on the accuracy of inertial navigation and its integration with other navigation techniques. Thus, how to efficiently obtain high-precision IMU calibration results is an important research problem for localization and motion tracking with consumer devices. To solve this problem, this paper proposes a handheld calibration method. Similar to our previous work, the pseudo observation is used to replace the measurement equation of the Kalman filter in the GNSS/INS loosely-coupled navigation algorithm. Compared to the existing online calibration algorithm, a more convenient data acquisition method is used, and the heading constraint information is added to assist in obtaining the calibration results of the IMU. To verify the proposed algorithm, a simulator is used to generate the heading updates with various precisions. The proposed algorithm shows the potential to estimate the vertical gyro bias, which does not converge in the existing calibration method, within around 0.5s when the accuracy of the heading’s random error is 5 degrees. When the heading random error is 60 degrees, the vertical gyro bias can converge in about 6 seconds after rotation with the standard deviation of 121.7765 deg/h. |
| first_indexed | 2024-12-11T12:35:58Z |
| format | Article |
| id | doaj.art-6890d30e80b04c08a5859a40db6db1bd |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-11T12:35:58Z |
| publishDate | 2022-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-6890d30e80b04c08a5859a40db6db1bd2022-12-22T01:07:08ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342022-04-01XLVI-3-W1-202223524210.5194/isprs-archives-XLVI-3-W1-2022-235-2022A HEADING CONSTRAINT CALIBRATION METHOD FOR LOW-END INERTIAL MEASUREMENT UNITSY. Xue0X. Guo1Z. Zheng2Y. Li3Y. Li4State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, ChinaHubei Luojia Laboratory, Wuhan, ChinaThe calibration result of the IMU has a strong impact on the accuracy of inertial navigation and its integration with other navigation techniques. Thus, how to efficiently obtain high-precision IMU calibration results is an important research problem for localization and motion tracking with consumer devices. To solve this problem, this paper proposes a handheld calibration method. Similar to our previous work, the pseudo observation is used to replace the measurement equation of the Kalman filter in the GNSS/INS loosely-coupled navigation algorithm. Compared to the existing online calibration algorithm, a more convenient data acquisition method is used, and the heading constraint information is added to assist in obtaining the calibration results of the IMU. To verify the proposed algorithm, a simulator is used to generate the heading updates with various precisions. The proposed algorithm shows the potential to estimate the vertical gyro bias, which does not converge in the existing calibration method, within around 0.5s when the accuracy of the heading’s random error is 5 degrees. When the heading random error is 60 degrees, the vertical gyro bias can converge in about 6 seconds after rotation with the standard deviation of 121.7765 deg/h.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-3-W1-2022/235/2022/isprs-archives-XLVI-3-W1-2022-235-2022.pdf |
| spellingShingle | Y. Xue X. Guo Z. Zheng Y. Li Y. Li A HEADING CONSTRAINT CALIBRATION METHOD FOR LOW-END INERTIAL MEASUREMENT UNITS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | A HEADING CONSTRAINT CALIBRATION METHOD FOR LOW-END INERTIAL MEASUREMENT UNITS |
| title_full | A HEADING CONSTRAINT CALIBRATION METHOD FOR LOW-END INERTIAL MEASUREMENT UNITS |
| title_fullStr | A HEADING CONSTRAINT CALIBRATION METHOD FOR LOW-END INERTIAL MEASUREMENT UNITS |
| title_full_unstemmed | A HEADING CONSTRAINT CALIBRATION METHOD FOR LOW-END INERTIAL MEASUREMENT UNITS |
| title_short | A HEADING CONSTRAINT CALIBRATION METHOD FOR LOW-END INERTIAL MEASUREMENT UNITS |
| title_sort | heading constraint calibration method for low end inertial measurement units |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-3-W1-2022/235/2022/isprs-archives-XLVI-3-W1-2022-235-2022.pdf |
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