Measurement conversion based RKF for satellite localization via GPS

Murat Bagci, Chingiz Hajiyev

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

4 Citations (Scopus)

Abstract

The Extended Kalman Filter (EKF), is an estimation method for nonlinear systems. GPS-based Satellite localization problem is such a nonlinear problem which has nonlinear state and measurement vectors, and the researchers in this area are frequently utilizing the EKF as standard solution technique. The traditional EKF requires some definitions at the initialization step of the filter algorithm. Measurement noise covariance matrix (R)is one of them and should be introduced into the algorithm either using sensor data sheets or statistical offline error calculations. In the proposed study, we used a Single Measurement Noise Scale Factor (SMNSF)to update the R matrix, which defined in the identity matrix form at the beginning. Thus, we developed an innovation-based Robust Kalman Filter (RKF)with Single Measurement Noise Scale Factor established over the EKF process. Also, we implemented a preprocessing block to convert measurements into linear form and feed the measurement channel of the Kalman filter. The preprocessing block of the algorithm has a soft-switch, and Newton-Raphson Method (NRM)based solver. We used J2 perturbative orbit model for the Low Earth Orbit (LEO)satellite's orbital motion for 90 minutes. We had remarkable statistical results at the end of the simulation phase.

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.
Pages861-868
Number of pages8
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.

Keywords

  • Global Positioning System (GPS)
  • Low Earth Orbit (LEO)
  • Measurement Conversion
  • Multivariate Newton-Raphson Method (NRM)
  • Orbit Estimation
  • Preprocessing
  • Robust Kalman Filter (RKF)
  • Satellite Localization
  • Single Measurement Noise Scale Factor (SMNSF)

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