- Tytuł:
- Estimation of UAV Position with Use of Smoothing Algorithms
- Autorzy:
-
Kaniewski, P.
Gil, R.
Konatowski, S. - Powiązania:
- https://bibliotekanauki.pl/articles/221380.pdf
- Data publikacji:
- 2017
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
Unmanned Aerial Vehicle
Inertial Navigation System
Global Navigation Satellite System
Integrated Navigation System
Synthetic Aperture Radar
Kalman Filter
smoothing algorithm - Opis:
- The paper presents methods of on-line and off-line estimation of UAV position on the basis of measurements from its integrated navigation system. The navigation system installed on board UAV contains an INS and a GNSS receiver. The UAV position, as well as its velocity and orientation are estimated with the use of smoothing algorithms. For off-line estimation, a fixed-interval smoothing algorithm has been applied. On-line estimation has been accomplished with the use of a fixed-lag smoothing algorithm. The paper includes chosen results of simulations demonstrating improvements of accuracy of UAV position estimation with the use of smoothing algorithms in comparison with the use of a Kalman filter.
- Źródło:
-
Metrology and Measurement Systems; 2017, 24, 1; 127-142
0860-8229 - Pojawia się w:
- Metrology and Measurement Systems
- Dostawca treści:
- Biblioteka Nauki