Integration of barometric and GPS altimeters via adaptive data fusion algorithm

Chingiz Hajiyev*, Ulviye Hacizade, Demet Cilden-Guler

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

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 languageEnglish
Pages (from-to)2-14
Number of pages13
JournalInternational Journal of Adaptive Control and Signal Processing
Volume35
Issue number1
DOIs
Publication statusPublished - 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.

FundersFunder number
Turkish Aerospace IncTM3061
Turkish Aerospace Inc.

    Keywords

    • GPS
    • adaptive data fusion
    • baro-altimeter
    • integrated navigation systems
    • robust filtration, integrated altimeter

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