Jihe Wang , Tianjie Liu , Chengxi Zhang , Jinxiu Zhang
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引用次数: 0
Abstract
Conventional ground track-based constellation designs focus on the distribution of ascending and descending nodes, addressing only the relative spacing of ground tracks. This study for the first time introduces an analytic constellation design framework that allocates ground track configurations by examining the distribution of independent intersection points, pioneering a comprehensive analysis of ground track configurations and their impact on coverage performance. This solution enables the fulfillment of mission objectives with a minimal number of satellites. Furthermore, by optimizing the initial positions of satellites within designated ground track configurations, this approach ensures greater uniformity in average revisit time (ART) and maximum revisit time (MRT). The proposed method significantly reduces the design search space and enhances efficiency. Simulation results demonstrate a 31% reduction in satellite count and substantial decreases in the standard deviations of ART and MRT by 52.99% and 66.53%, respectively, compared to genetic algorithm-based optimization methods.
期刊介绍:
Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to:
• The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites
• The control of their environment
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Authors are invited to submit papers on new advances in the following topics to aerospace applications:
• Fluid dynamics
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• Materials and structures
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• Electromagnetism and radar
• Signal and image processing
• Information processing
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• Decision aid
• Human behaviour
• Robotics and intelligent systems
• Complex system engineering.
Etc.