Abstract
In order to ensure the precision flying and the capability of precision approach and landing for small aircraft, a data fusion algorithm of federal Kalman filtering (FKF) based on high precision barometric altimeter and GPS is presented. The model of the data fusion algorithm is analyzed in detail. An improved adaptive filter algorithm is developed to eliminate the oblivious error of GPS data. The preliminary experiment results are given and the results show that the adaptive algorithm is efficient in improving the vertical positioning accuracy. The safety and the reliability of small aircraft in the process of near-enter is improved, which satisfies the landing requirement of civil aviation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
