| Citation: | LI J Q，SHI P. Optimization of LEO remote sensing constellation with enhanced regional coverage[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（12）：3912-3920 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0878
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An ideal design approach is suggested for the trade-offs between performance and cost as well as between regional coverage and worldwide target coverage in the design of a constellation of remote sensing satellites. For the contradiction between construction cost and performance, a multi-objective optimization algorithm is used to optimize the cost and performance at the same time. The optimization results represent the increasing trend of performance and the possible conflicts between different performance indicators as the cost increases. A solution method based on the non-dominated sorting gonetic algorithims-II(NSGA-II) algorithm is suggested for this more flexible constellation model, which is used to meet specific limitations of the global coverage performance and improve the coverage performance of a particular area. The results show that after applying the new constellation model and algorithm, better performance can be achieved under the same constellation size or cost constraints.
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