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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Bibliographic Details
Published in2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) pp. 1069 - 1072
Main Authors Kuxdorf-Alkirata, Nizam, Kasolis, Fotios, Bruckmann, Dieter, Koch, Oliver
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2019
Subjects
6G mobile communication
Accelerometers
Calibration
Gyroscopes
indoor positioning
linear error model
path reconstruction
Reconstruction algorithms
Sensors
signal processing
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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.
ISSN:1558-3899
DOI:10.1109/MWSCAS.2019.8885060