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Unscented Kalman Filter-Based Fusion of GNSS, Accelerometer, and Rotation Sensors for Motion Tracking
| 题名： | Unscented Kalman Filter-Based Fusion of GNSS, Accelerometer, and Rotation Sensors for Motion Tracking |
| 正文语种： | eng |
| 作者： | Yara Rossi;Konstantinos Tatsis;Roland Hohensinn;John Clinton;Eleni Chatzi;Markus Rothacher |
| 作者单位： | Institute of Geodesy and Photogrammetry (IGP) ETH Zurich Robert-Gnehm Weg 15 Zurich CH 8093 Switzerland Swiss Seismological Service (SED) ETH Zurich Sonneggstrasse 5 Zurich CH 8092 Switzerland;Institute of Structural Engineering (IBK) ETH Zuric |
| 摘要： | In this paper, we present an unscented Kalman filter (UKF) for fusion of information from an accelerometer, global navigation satellite system (GNSS) instrumentation, and rotational sensor recordings of structural motion. Seismic and structural motions do |
| 出版年： | 2024 |
| 期刊名称： | Journal of structural engineering |
| 卷： | 150 |
| 期： | 7 |
| 页码： | 05024002.1-05024002.15 |
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