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ORBIT DESIGN FOR REGIONAL NAVIGATION SATELLITE SYSTEM OF TÜRKİYE BASED ON PARTICLE SWARM OPTIMIZATION
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Date
2023-6-1
Author
Başıbüyük, Arif Can
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This thesis presents optimized orbits of Regional Navigation Satellite System (RNSS) which is designed for Türkiye for a constellation consisting of 4 satellites. In order to increase available positioning and timing service in the region, the RNSS is designed as an augmentation system in addition to Global Positioning System (GPS). It has been considered that the system may be standalone when necessary for future phases. Orbits of navigation satellites are optimized with Particle Swarm Optimization (PSO) algorithm by minimizing the average Geometric Dilution of Precision (GDOP) values, which quantifies the positioning accuracy. Six different configurations of four satellites in Eccentric Inclined Geosynchronous Orbits (EIGSO), Geostationary Orbit (GEO), and Molniya orbits are considered. In order to calculate GDOP values for points that are located in the region, orbits of RNSS and GPS are propagated for one day, and the visibility of the satellites is calculated for these points. Elevation angles of the satellites for the region are also considered as a constraint for optimization, in order to represent signal quality. To analyze the standalone feasibility of the system, simultaneous availability values of four satellites were calculated. In order to investigate the performance of the systems, the ground track, coverage, and average GDOP map of the constellations are visualized for the region. As a result of these evaluations, the orbits of the optimum RNSS constellation which is consisting four satellites are obtained.
Subject Keywords
Regional Navigation Satellite System
,
Orbit Design
,
Particle Swarm Optimization
,
Geometric Dilution of Precision
,
Augmentation System
URI
https://hdl.handle.net/11511/104454
Collections
Graduate School of Natural and Applied Sciences, Thesis
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A. C. Başıbüyük, “ORBIT DESIGN FOR REGIONAL NAVIGATION SATELLITE SYSTEM OF TÜRKİYE BASED ON PARTICLE SWARM OPTIMIZATION,” M.S. - Master of Science, Middle East Technical University, 2023.