@inproceedings{802c266a8251419588cbfc60974cf13a,
title = "Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms",
abstract = "The satellite's payload collects and transmits information only within its field of view. To accomplish the detection mission, a satellite constellation of a certain scale needs to be designed. In this paper, a genetic algorithm is used to optimize the satellite combination on a fixed orbit to maximize the coverage time of the target area. The interconnection between MATLAB and STK is implemented through the COM interface, and a hash table is introduced to eliminate duplicate calculations, significantly improving the algorithm's performance. Simulation results show that this method has potential for application in large-scale satellite network coverage optimization.",
keywords = "Genetic Algorithm, Hash Table, Regional Coverage, Satellite Constellation",
author = "Zhijun Guo and Xinliang Chen and Yuanshuai Li and Hao Zhang and Quanhua Liu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 ; Conference date: 22-11-2024 Through 24-11-2024",
year = "2024",
doi = "10.1109/ICSIDP62679.2024.10869286",
language = "English",
series = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",
address = "United States",
}