Satellite Constellation Design for Zonal Coverage Using Genetic Algorithms

1999 ◽  
Vol 47 (3-4) ◽  
pp. 207-228 ◽  
Author(s):  
T. A. Ely ◽  
W. A. Crossley ◽  
E. A. Williams
Keyword(s):  
Genetic Algorithms ◽  
Satellite Constellation ◽  
Constellation Design

Satellite constellation design with genetic algorithms based on system performance

2016 ◽  
Vol 27 (2) ◽  
pp. 379-385 ◽  
Author(s):  
Xueying Wang ◽  
Jun Li ◽  
Tiebing Wang ◽  
Wei An ◽  
Weidong Sheng
Keyword(s):  
Genetic Algorithms ◽  
System Performance ◽  
Satellite Constellation ◽  
Constellation Design

scholarly journals Design Coverage Optimization Based on Position of Constellations and Cost of the Launch Vehicle

2021 ◽  
Vol 17 ◽  
pp. 1160-1190
Author(s):  
Saeid Kohani ◽  
Peng Zong ◽  
Fengfan Yang
Keyword(s):  
Genetic Algorithms ◽  
Optimal Design ◽  
Launch Vehicle ◽  
Multiple Objective ◽  
Satellite Constellations ◽  
Coverage Optimization ◽  
Satellite Constellation ◽  
Constellation Design ◽  
Global Coverage ◽  
Simulation Results

This research will analyze the tradeoffs between coverage optimization based on Position dilution of precision (PDOP) and cost of the launch vehicle. It adopts MATLAB and STK tools along with multiple objective genetic algorithms (MOGA) to explore the trade space for the constellation designs at different orbital altitudes. The objective of optimal design solutions is inferred to determine the economic and efficient LEO, MEO, HEO or hybrid constellations and simulation results are presented to optimize the design of satellite constellations. The benefits of this research are the optimization of satellite constellation design, which reduces costs and increases regional and global coverage with the least number of satellites. The result of this project is the optimization of the number of constellation satellites in several orbital planes in LEO orbit. Validations are based on reviewing the results of several simulations. The results of graphs and tables are presented in the last two sections and are taken from the results of several simulations.

Satellite constellation design for forest fire monitoring via a stochastic programing approach

2017 ◽  
Vol 64 (8) ◽  
pp. 642-661 ◽  
Author(s):  
Aaron B. Hoskins ◽  
Hugh R. Medal ◽  
Eghbal Rashidi
Keyword(s):  
Forest Fire ◽  
Fire Monitoring ◽  
Satellite Constellation ◽  
Constellation Design

Satellite constellation design algorithm for remote sensing of diurnal cycles phenomena

2018 ◽  
Vol 62 (9) ◽  
pp. 2529-2550 ◽  
Author(s):  
Sung Wook Paek ◽  
Luzius G. Kronig ◽  
Anton B. Ivanov ◽  
Olivier L. de Weck
Keyword(s):  
Remote Sensing ◽  
Design Algorithm ◽  
Diurnal Cycles ◽  
Satellite Constellation ◽  
Constellation Design

Efficient and Accurate Evolutionary Multi-Objective Optimization Paradigms for Satellite Constellation Design

2007 ◽  
Vol 44 (3) ◽  
pp. 682-691 ◽  
Author(s):  
Matthew P. Ferringer ◽  
Ronald S. Clifton ◽  
Timothy G. Thompson
Keyword(s):  
Multi Objective Optimization ◽  
Multi Objective ◽  
Satellite Constellation ◽  
Constellation Design
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