Details
| Original language | English |
|---|---|
| Title of host publication | 15th European Conference on Antennas and Propagation, EuCAP 2021 |
| Publisher | IEEE Computer Society |
| ISBN (electronic) | 9788831299022 |
| ISBN (print) | 978-1-7281-8845-4 |
| Publication status | Published - Mar 2021 |
Abstract
Navigation performance of a flight has to be maintained with a certain level of accuracy in civilian or military operations. Global navigation satellite system (GNSS) based devices in flights act as primary source of navigation. In order to improve the accuracy and robustness of the navigation, information from other systems (e.g. IMU) are fused together. The accuracy is further enhanced when adequate motion models are used during the estimation process. In this paper, we present results of multiple motion models in association with aircraft navigation and evaluate their performances. GNSS and inertial measurement unit (IMU) data are recorded in an aerial flight for about three hours. In order to highlight the impact of different motion models, data captured is processed post flight and position estimates are computed with a linearized Kalman filter (LKF). The computed positions are then compared with a reference trajectory and errors are evaluated for all the motion models. For different flight segments, the estimated position root mean square error (RMSE) varies up to a maximum of about 4 decimeters with different motion models. Also, the magnitude of the maximum deviations in highly dynamic maneuvers is reduced by a large extent when compared with different motion models and performance improvement is about 72%.
Keywords
- Aircraft navigation, GNSS, IMU, flight experiment, motion models
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Signal Processing
- Physics and Astronomy(all)
- Instrumentation
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15th European Conference on Antennas and Propagation, EuCAP 2021. IEEE Computer Society, 2021.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Evaluation and Comparison of Different Motion Models for Flight Navigation
AU - Kulemann, Dennis
AU - Jain, Ankit
AU - Schön, Steffen
N1 - Funding Information: This work has been funded by the German Federal Ministry for Economic Affairs and Energy following a resolution of the German Bundestag (project number: 50NA1705). The authors would like to thank Dr. Jens Kremer and Andreas Dach from IGI mbH for conducting the flight experiment with us and providing the reference trajectory solution. Ankit Jain is an associated member of the DFG research training group i.c.sens to which he is really thankful.
PY - 2021/3
Y1 - 2021/3
N2 - Navigation performance of a flight has to be maintained with a certain level of accuracy in civilian or military operations. Global navigation satellite system (GNSS) based devices in flights act as primary source of navigation. In order to improve the accuracy and robustness of the navigation, information from other systems (e.g. IMU) are fused together. The accuracy is further enhanced when adequate motion models are used during the estimation process. In this paper, we present results of multiple motion models in association with aircraft navigation and evaluate their performances. GNSS and inertial measurement unit (IMU) data are recorded in an aerial flight for about three hours. In order to highlight the impact of different motion models, data captured is processed post flight and position estimates are computed with a linearized Kalman filter (LKF). The computed positions are then compared with a reference trajectory and errors are evaluated for all the motion models. For different flight segments, the estimated position root mean square error (RMSE) varies up to a maximum of about 4 decimeters with different motion models. Also, the magnitude of the maximum deviations in highly dynamic maneuvers is reduced by a large extent when compared with different motion models and performance improvement is about 72%.
AB - Navigation performance of a flight has to be maintained with a certain level of accuracy in civilian or military operations. Global navigation satellite system (GNSS) based devices in flights act as primary source of navigation. In order to improve the accuracy and robustness of the navigation, information from other systems (e.g. IMU) are fused together. The accuracy is further enhanced when adequate motion models are used during the estimation process. In this paper, we present results of multiple motion models in association with aircraft navigation and evaluate their performances. GNSS and inertial measurement unit (IMU) data are recorded in an aerial flight for about three hours. In order to highlight the impact of different motion models, data captured is processed post flight and position estimates are computed with a linearized Kalman filter (LKF). The computed positions are then compared with a reference trajectory and errors are evaluated for all the motion models. For different flight segments, the estimated position root mean square error (RMSE) varies up to a maximum of about 4 decimeters with different motion models. Also, the magnitude of the maximum deviations in highly dynamic maneuvers is reduced by a large extent when compared with different motion models and performance improvement is about 72%.
KW - Aircraft navigation
KW - GNSS
KW - IMU
KW - flight experiment
KW - motion models
UR - http://www.scopus.com/inward/record.url?scp=85105456622&partnerID=8YFLogxK
U2 - 10.23919/eucap51087.2021.9411080
DO - 10.23919/eucap51087.2021.9411080
M3 - Conference contribution
SN - 978-1-7281-8845-4
BT - 15th European Conference on Antennas and Propagation, EuCAP 2021
PB - IEEE Computer Society
ER -