The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Optimum Design of an SAR Satellite Constellation Considering the Revisit Time Using a Genetic Algorithm
Abstract
The optimum design of an SAR (Synthetic Aperture Radar) satellite constellation is developed herein using a genetic algorithm. The performance of Earth observations using a satellite constellation can be improved by minimizing the maximum revisit time. Classical orbit design using analytic methods has limitations when addressing orbit dynamics due to various disturbances. To overcome this issue, an optimization technique based on a genetic algorithm is used. STK (Systems Tool Kit) is utilized to propagate the satellite orbit when considering external disturbances, and the maximum revisit time on the earth observation area is calculated. By minimizing the performance index using a genetic algorithm, the optimum orbit of the satellite constellation is designed. Numerical results are provided to demonstrate the performance of the proposed method.
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AN INTRODUCTION TO SYNTHETIC APERTURE RADAR (SAR)
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Mission scheduling optimization of SAR satellite constellation for minimizing system response time
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Estimating Snow Accumulation From InSAR Correlation Observations
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Orbit Design for Ground Surveillance Using Genetic Algorithms
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Cited by
Design of Regional Coverage Low Earth Orbit (LEO) Constellation with Optimal Inclination
Shin, J., Park, S.-Y., Son, J., & Song, S.-C. (2021) · Journal of Astronomy and Space Sciences · doi:10.5140/jass.2021.38.4.217 · Cited by 13
Metadata
- Authors
- Kim, Y., Kim, M., Han, B., Kim, Y., & Shin, H.
- Venue
- International Journal of Aeronautical and Space Sciences
- Published
- 2017-06-30
- Volume
- 18
- Issue
- 2
- Pages
- 334-343
- ISSN
- 2093-274X
- Cited by
- 13
- References
- 16
- Language
- en
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