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.
GNSS-Aided Satellite Localization by Using Various Kalman Filters
Sustainable aviat.
International Symposium on Unmanned Systems and The Defense Industry ; 2021 ; Washington, DC, DC, USA October 26, 2021 - October 28, 2021
2023-06-28
12 pages
Article/Chapter (Book)
Electronic Resource
English
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