Data fusion for integrated Baro/GPS altimeter

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019
EditorsS. Menekay, O. Cetin, O. Alparslan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages881-885
Number of pages5
ISBN (Electronic)9781538694480
DOIs
Publication statusPublished - Jun 2019
Event9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey
Duration: 11 Jun 201914 Jun 2019

Publication series

NameProceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

Conference

Conference9th International Conference on Recent Advances in Space Technologies, RAST 2019
Country/TerritoryTurkey
CityIstanbul
Period11/06/1914/06/19

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.

FundersFunder number
Turkish Aerospace Inc.

    Keywords

    • Baro Altimeter
    • Baro/GPS integrated altimeter
    • Data fusion
    • GPS
    • Integrated Navigation Systems
    • Kalman Filter

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