This chapter is devoted comparison of the satellite position and velocity states estimation with the use of traditional extended, extended with linear measurements, and Newton Raphson aided extended Kalman Filters. In this study, a low-earth orbiting satellite position and velocity states are estimated by using the above filters. A global navigation satellite system (GNSS) receiver is modeled using a pseudo-range approach. Obtained results were compared and discussed. An attempt was made to determine the best method for estimating the satellite’s position. The accuracy of the estimates was shown for each estimation approach.


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    Title :

    GNSS-Aided Satellite Localization by Using Various Kalman Filters


    Additional title:

    Sustainable aviat.


    Contributors:

    Conference:

    International Symposium on Unmanned Systems and The Defense Industry ; 2021 ; Washington, DC, DC, USA October 26, 2021 - October 28, 2021



    Publication date :

    2023-06-28


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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