Abstract
An adaptive integrated navigation system, consisting of barometric altimeter (Baro) and GPS, is presented. The integration is achieved by using an adaptive data fusion algorithm with the filter gain correction. Proposed adaptive data fusion algorithm utilizes the measurement noise scale factor in order to reduce the effects of the incorrect barometric altimeter measurements on the estimation procedure. By using the algorithm, incorrect baro measurements are corrected by the system without any impact on the good estimation behavior. Performance of the proposed Baro/GPS integrated system is examined by simulations for altitude estimation of an aircraft.
Original language | English |
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Pages (from-to) | 2-14 |
Number of pages | 13 |
Journal | International Journal of Adaptive Control and Signal Processing |
Volume | 35 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2021 |
Bibliographical note
Publisher Copyright:© 2020 John Wiley & Sons Ltd.
Funding
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. information Turkish Aerospace Inc, TM3061This 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 | TM3061 |
Turkish Aerospace Inc. |
Keywords
- GPS
- adaptive data fusion
- baro-altimeter
- integrated navigation systems
- robust filtration, integrated altimeter