Comparison of EKF&UKF for GNSS Based Micro Satellite Orbital State Estimation

Mert Sever, Tuncay Yunus Erkec, Chingiz Hajiyev

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

1 Citation (Scopus)

Abstract

In recent times, there has been a growing interest in improving satellite orbital state estimation techniques. This is mainly driven by the need to reduce the cost of space missions, accommodate complex mission requirements, and overcome the limitations associated with the use of a single satellite. In this study, we propose a GNSS-based actual distance model (Pseudo-running model) for estimating satellite states. Additionally, we utilize the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) methods to acquire precise state estimations for both mother and tracker satellites. The focus of this study is to compare the performance of the different estimation models. Furthermore, we incorporate J2 satellite orbital disturbance in our state predictions using EKF and UKF methods. Overall, the findings from this study contribute to the body of knowledge in satellite state estimation and provide useful insights for future space missions.

Original languageEnglish
Title of host publicationProceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350323023
DOIs
Publication statusPublished - 2023
Event10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 - Istanbul, Turkey
Duration: 7 Jun 20239 Jun 2023

Publication series

NameProceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023

Conference

Conference10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Country/TerritoryTurkey
CityIstanbul
Period7/06/239/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • extended kalman filter
  • GNSS
  • localization
  • orbit
  • satellite
  • unscented kalman filter

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