International Journal of Computational Intelligence Systems

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Volume 9, Issue 4, August 2016, Pages 627 - 637

Optimization of small satellite constellation design for continuous mutual regional coverage with multi-objective genetic algorithm

Authors
I. Meziane-Tani1, 2, *, mezianetani.imane@gmail.com, G. Métris2, G. Lion3, A. Deschamps2, F. T. Bendimerad1, M. Bekhti4
*E-mail: mezianetani.imane@gmail.com. Tel.: (+213) 43 28 56 89; fax: (+213) 43 28 56 85
Corresponding Author
Received 22 March 2015, Accepted 6 March 2016, Available Online 1 August 2016.
DOI
10.1080/18756891.2016.1204112How to use a DOI?
Keywords
Multi Objective Genetic Algorithm; Constellation Design; Regional Coverage; Mutual Coverage; Small Satellite Constellation
Abstract

This paper describes the application of an evolutionary optimization method to design satellite constellation for continuous regional coverage without intersatellite links. This configuration, called mutual coverage, is related to some technical limitations that exist on small satellite technology. The coverage of the north Algerian seismological network is taken as an example of application. A Multi Objective Genetic Algorithm (MOGA) is used to make a trade-off between the improvement of the coverage rate, the minimization of the total number of satellites and the reduction of the satellites’ altitude. First, some experiments have been performed to find the weight distribution of the fitness function that shows the most significant improvement of the average fitness function. Then, some optimized constellation designs are given for different ranges of altitude and it is shown that the size of the MOGA constellation design is significantly reduced compared to the traditional geometrical design.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 4
Pages
627 - 637
Publication Date
2016/08/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1204112How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - I. Meziane-Tani
AU  - G. Métris
AU  - G. Lion
AU  - A. Deschamps
AU  - F. T. Bendimerad
AU  - M. Bekhti
PY  - 2016
DA  - 2016/08/01
TI  - Optimization of small satellite constellation design for continuous mutual regional coverage with multi-objective genetic algorithm
JO  - International Journal of Computational Intelligence Systems
SP  - 627
EP  - 637
VL  - 9
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1204112
DO  - 10.1080/18756891.2016.1204112
ID  - Meziane-Tani2016
ER  -