Linear error modeling and noise smoothing for improved low-cost IMU-based indoor positioning
In order to improve the accuracy of indoor positioning systems, an auxiliary signal analysis method is embedded to a path reconstruction algorithm. The proposed method takes into account calibration data that is obtained from an inertial measurement unit while it is at rest, and continues to work on...
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Published in | 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) pp. 1069 - 1072 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2019
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Subjects | |
Online Access | Get full text |
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Summary: | In order to improve the accuracy of indoor positioning systems, an auxiliary signal analysis method is embedded to a path reconstruction algorithm. The proposed method takes into account calibration data that is obtained from an inertial measurement unit while it is at rest, and continues to work on the fly to adjust the output of the path reconstruction algorithm adaptively. A post-processing filter is employed to further reduce fluctuations in the reconstructed path. |
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ISSN: | 1558-3899 |
DOI: | 10.1109/MWSCAS.2019.8885060 |