Abstract
Accurate attitude and heading is required for many applications. For pedestrian navigation, the major challenge is to cope with linear accelerations and magnetic disturbances. To that end, a data driven adaptive complementary filter for attitude and heading estimation is proposed. The accelerometers and magnetometers weights in each axis are adjusted according to optimized gain maps. The proposed approach is compared to commonly used algorithms using experimental data representing commonly used smartphone dynamics. Results show the contribution of the proposed approach to the attitude accuracy.
| Original language | English |
|---|---|
| Title of host publication | 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN) |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665404020 |
| ISBN (Print) | 978-1-6654-4734-8 |
| DOIs | |
| State | Published - 2 Dec 2021 |
| Event | 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN) - Lloret de Mar, Spain Duration: 29 Nov 2021 → 2 Dec 2021 |
Publication series
| Name | 2021 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2021 |
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Conference
| Conference | 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN) |
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| Period | 29/11/21 → 2/12/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Accelerometers
- Magnetometers
- Magnetic separation
- Heuristic algorithms
- Indoor navigation
- Estimation
- Sensor systems