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Artificial Satellites

The Journal of Space Research Centre of Polish Academy of Sciences

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CiteScore 2016: 0.33

SCImago Journal Rank (SJR) 2016: 0.179
Source Normalized Impact per Paper (SNIP) 2016: 0.560

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Volume 49, Issue 2


Simplified Orbit Determination Algorithm for Low Earth Orbit Satellites Using Spaceborne GPS Navigation Sensor

Sandip Tukaram Aghav / Shashikala Achyut Gangal
Published Online: 2014-06-06 | DOI: https://doi.org/10.2478/arsa-2014-0007


In this paper, the main work is focused on designing and simplifying the orbit determination algorithm which will be used for Low Earth Orbit (LEO) navigation. The various data processing algorithms, state estimation algorithms and modeling forces were studied in detail, and simplified algorithm is selected to reduce hardware burden and computational cost. This is done by using raw navigation solution provided by GPS Navigation sensor. A fixed step-size Runge-Kutta 4th order numerical integration method is selected for orbit propagation. Both, the least square and Extended Kalman Filter (EKF) orbit estimation algorithms are developed and the results of the same are compared with each other. EKF algorithm converges faster than least square algorithm. EKF algorithm satisfies the criterions of low computation burden which is required for autonomous orbit determination. Simple static force models also feasible to reduce the hardware burden and computational cost.

Keywords : GPS Navigation Sensor; atmospheric drag; extended Kalman filter


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About the article

Received: 2014-01-15

Revised: 2014-05-14

Accepted: 2014-05-16

Published Online: 2014-06-06

Published in Print: 2014-06-01

Citation Information: Artificial Satellites, Volume 49, Issue 2, Pages 81–99, ISSN (Online) 2083-6104, ISSN (Print) 0208-841X, DOI: https://doi.org/10.2478/arsa-2014-0007.

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© Artificial Satellites. This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. BY-NC-ND 3.0

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