Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms

Zhijun Guo; Xinliang Chen; Yuanshuai Li; Hao Zhang; Quanhua Liu

doi:10.1109/ICSIDP62679.2024.10869286

Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms

Zhijun Guo, Xinliang Chen^*, Yuanshuai Li, Hao Zhang, Quanhua Liu

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331515669
DOIs	https://doi.org/10.1109/ICSIDP62679.2024.10869286
Publication status	Published - 2024
Event	2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China Duration: 22 Nov 2024 → 24 Nov 2024

Publication series

Name	IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference	2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/Territory	China
City	Zhuhai
Period	22/11/24 → 24/11/24

Keywords

Genetic Algorithm
Hash Table
Regional Coverage
Satellite Constellation

Access to Document

10.1109/ICSIDP62679.2024.10869286

Cite this

Guo, Z., Chen, X., Li, Y., Zhang, H., & Liu, Q. (2024). Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms. In IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP62679.2024.10869286

Guo, Zhijun ; Chen, Xinliang ; Li, Yuanshuai et al. / Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms. IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024).

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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",

}

Guo, Z, Chen, X, Li, Y, Zhang, H & Liu, Q 2024, Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms. in IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024, Zhuhai, China, 22/11/24. https://doi.org/10.1109/ICSIDP62679.2024.10869286

Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms. / Guo, Zhijun; Chen, Xinliang; Li, Yuanshuai et al.
IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms

AU - Guo, Zhijun

AU - Chen, Xinliang

AU - Li, Yuanshuai

AU - Zhang, Hao

AU - Liu, Quanhua

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - Genetic Algorithm

KW - Hash Table

KW - Regional Coverage

KW - Satellite Constellation

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U2 - 10.1109/ICSIDP62679.2024.10869286

DO - 10.1109/ICSIDP62679.2024.10869286

M3 - Conference contribution

AN - SCOPUS:86000013587

T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Y2 - 22 November 2024 through 24 November 2024

ER -

Guo Z, Chen X, Li Y, Zhang H, Liu Q. Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms. In IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024). doi: 10.1109/ICSIDP62679.2024.10869286

Design of Satellite Constellations for Maximizing Regional Coverage Time Using Genetic Algorithms

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