Browse > Article
http://dx.doi.org/10.5139/IJASS.2017.18.2.334

Optimum Design of an SAR Satellite Constellation Considering the Revisit Time Using a Genetic Algorithm  

Kim, Yunjoong (Department of Mechanical and Aerospace Engineering, Seoul National University)
Kim, Mingu (Defense Industry Technology Center)
Han, Bumku (Department of Mechanical and Aerospace Engineering, Seoul National University)
Kim, Youdan (Department of Mechanical and Aerospace Engineering, Seoul National University)
Shin, Hohyun (Space Imaging R&D Lab, LIG Nex1 Co., Ltd.)
Publication Information
International Journal of Aeronautical and Space Sciences / v.18, no.2, 2017 , pp. 334-343 More about this Journal
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.
Keywords
Satellite Constellation; Orbit Design; Revisit Time; Genetic Algorithm; Synthetic Aperture Radar;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Oveisgharan, S. and Zebker, H. A., "Estimating Snow Accumulation from InSAR Correlation Observations", IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 1, 2007, pp. 10-20.   DOI
2 Abdelkhalik, O. and Mortari, D., "Orbit Design for Ground Surveillance Using Genetic Algorithms", Journal of Guidance, Control, and Dynamics, Vol. 29, No. 5, 2006, pp. 1231-1235.   DOI
3 Kim, H. D., Jung, O. C. and Bang, H., "A Computational Approach to Reduce the Revisit Time Using a Genetic Algorithm", International Conference on Control, Automation and Systems, Seoul, Korea, 2007.
4 Choi, H., Kim, Y. and Kim, H. J., "Genetic Algorithm Based Decentralized Task Assignment for Multiple Unmanned Aerial Vehicles in Dynamic Environments", International Journal of Aeronautical and Space Sciences, Vol. 12, No. 2, 2011, pp. 163-174.   DOI
5 Lee, S. C., Kim, H. D. and Suk, J., "Collision Avoidance Maneuver Planning Using GA for LEO and GEO Satellite Maintained in Keeping Area", International Journal of Aeronautical and Space Sciences, Vol. 13, No. 4, 2012, pp. 474-483.   DOI
6 Kim, H. Y., Optimization of Sun-synchronous Spacecraft Constellation's Operational Orbits (in Korean), M.S. Thesis, Department of Aerospace Engineering, Chonbuk National University, 2009.
7 Vallado, D. A., Fundamentals of Astrodynamics and Applications, 4th edition, Hawthorne, CA, 2001.
8 Chan, Y. K. and Koo, V. C., "An Introduction to Synthetic Aperture Radar (SAR)", Progress in Electromagnetics Research B, Vol. 2, 2008, pp. 27-60.   DOI
9 Qiao, L., Rizos, C. and Dempster, A., "Satellites Orbit Design for the Australian Garada Project", The 24th International Technical Meeting of the Satellite Division of the Institute of Navigation, Portland, OR, 2011.
10 Elachi, C., "Space Imaging Radar in Planetary Exploration and Earth Observation", AIAA Journal, Vol. 39, No. 4, 2001, pp. 553-563.   DOI
11 Lee, J. M., No, T. S., Jung, O. C. and Chung, D. W., "Mission-based Operational orbit Design for Sunsynchronous Spacecraft", Journal of The Korean Society for Aeronautical and Space Sciences (in Korean), Vol. 40, No. 9, 2012, pp. 752-759.   DOI
12 Kirk, D. E., Optimal Control Theory: An Introduction, Ennlewood, NJ. 1970.
13 Haupt, R. L. and Sue E. H., Practical Genetic Algorithms, John Wiley & Sons, 2004.
14 Larson, W. J. and Wertz, J. R., Space Mission Analysis and Design, Space Technology Library, 1999.
15 Beste, D. C., "Design of Satellite Constellations for Optimal Continuous Coverage", IEEE Transactions on Aerospace and Electronic Systems, Vol. 14, No. 3, 1978, pp. 466-473.
16 Draim, J. E., "Three- and Four-Satellite Continuous- Coverage Constellations", Journal of Guidance, Control, and Dynamics, Vol. 8, No. 6, 1985, pp. 725-730.   DOI
17 Crossley, W. A. and Williams, E. A., "Simulated Annealing and Genetic Algorithm Approaches for Discontinuous Coverage Satellite Constellation Design", Engineering Optimization, Vol. 32, No. 3, 2000, pp. 353-371.   DOI
18 Williams, E. A., Crossley, W. A. and Lang, T. J., "Average and Maximum Revisit Time Trade Studies for Satellite Constellations Using a Multiobjective Genetic Algorithm", The Journal of the Astronautical Sciences, Vol. 49, No. 3, 2001, pp. 385-400.
19 Kim, N. K., Park, S. Y., Kim, Y. R. and Choi, K. H., "Optimal Design of Satellite Constellation Korean Peninsula Regions", Journal of Astronomy and Space Sciences (in Korean), Vol. 25, No. 2, 2008, pp. 181-198.   DOI
20 Kim, H. D. and Bang, H., "Temporary Satellite Constellation Design for the Ground Reconnaissance Mission", Journal of the Korean Society for Aeronautical and Space Sciences (in Korean), Vol. 37, No. 11, 2009, pp. 1112- 1120.   DOI
21 Kim, H. and Chang, Y. K., "Mission Scheduling Optimization of SAR Satellite Constellation for Minimizing System Response Time", Aerospace Science and Technology, Vol. 40, No. 1, 2015. pp. 17-32.   DOI
22 Mourad, A. G. and Robinson, A. C., "Applications of Seasat to the Offshore Oil, Gas, and Mining Industries", Journal of Hydronautics, Vol. 12, No. 4, 1978, pp. 137-141.   DOI