The paper presents a new model for determining the accurate and reliable flight speed of an aircraft based on navigation data from the three independent Global Navigation Satellite System (GNSS) receivers. The GNSS devices were mounted on-board of a Cessna 172 aircraft during a training flight in south-eastern Poland. The speed parameter was determined as the resultant value based on individual components from 3 independent solutions of the motion model. In addition, the standard deviation of the determined flight speed values for the Cessna 172 aircraft was determined in the paper. The resultant on-ground and flight speed of the Cessna 172 aircraft ranged from 0.23 m/s to 74.81 m/s, while the standard deviation of the determined speed values varied from 0.01 m/s to 1.07 m/s. In addition, the accuracy of research method equals to -0.46 m/s to +0.61 m/s, in respect to the RTK-OTF solution. The RMS parameter as an accuracy term amounts to 0.07 m/s for the presented research method.


    Access

    Download


    Export, share and cite



    Title :

    ASSESSMENT OF VELOCITY ACCURACY OF AIRCRAFT IN THE DYNAMIC TESTS USING GNSS SENSORS



    Publication date :

    2020-07-29


    Remarks:

    doi:10.22190/FUME200302027K
    Facta Universitatis, Series: Mechanical Engineering; Vol 18, No 2 (2020); 301-313 ; 2335-0164 ; 0354-2025



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



    Results of aircraft positioning tests in postprocessing using the GNSS

    Henryk JAFERNIK / Andrzej FELLNER / Magdalena MROZIK et al. | DOAJ | 2017

    Free access

    GNSS LOCALIZATION USING VEHICLE SENSORS

    SONG XIAOFENG F / DENG BING / YUAN JUN | European Patent Office | 2019

    Free access

    DGPS High Accuracy Aircraft Velocity Determination Using Doppler Measurements

    Szarmes, M. / Ryan, S. / Lachapelle, G. et al. | British Library Conference Proceedings | 1997


    GNSS Accuracy Improvement Using Rapid Shadow Transitions

    Yozevitch, Roi / Ben-Moshe, Boaz / Dvir, Amit | IEEE | 2014