Abstract
The integrated navigation system, consisting of barometric altimeter (Baro) and GPS, is presented. The integration is achieved by using a Kalman filtering type data fusion algorithm. The proposed data fusion algorithm utilizes the barometric altimeter and GPS measurements in the estimation procedure in order to increase the altitude estimation accuracy. The performance of the proposed Baro/GPS integrated system is evaluated by the simulations for altitude estimation of an aircraft.
Original language | English |
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Title of host publication | Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019 |
Editors | S. Menekay, O. Cetin, O. Alparslan |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 881-885 |
Number of pages | 5 |
ISBN (Electronic) | 9781538694480 |
DOIs | |
Publication status | Published - Jun 2019 |
Event | 9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey Duration: 11 Jun 2019 → 14 Jun 2019 |
Publication series
Name | Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019 |
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Conference
Conference | 9th International Conference on Recent Advances in Space Technologies, RAST 2019 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 11/06/19 → 14/06/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Funding
ACKNOWLEDGMENT This research is part of the project numbered with TM3061 which is fully financed by Turkish Aerospace Inc. In order to learn for more details about the project, please apply/refer to Turkish Aerospace Inc.
Funders | Funder number |
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Turkish Aerospace Inc. |
Keywords
- Baro Altimeter
- Baro/GPS integrated altimeter
- Data fusion
- GPS
- Integrated Navigation Systems
- Kalman Filter