LEO Navigation Constellation Configuration Optimization Based on Genetic Algorithm

LI Huaijian; WEI Yanbo; DU Xiaojing

doi:10.15892/j.cnki.djzdxb.2021.04.017

Journal of Projectiles, Rockets, Missiles and Guidance >

2021 , Vol. 41 >Issue 4: 74 - 78

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.04.017

LEO Navigation Constellation Configuration Optimization Based on Genetic Algorithm

LI Huaijian ,
WEI Yanbo ,
DU Xiaojing

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School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China

Received date: 2020-10-14

Online published: 2025-02-13

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Abstract

Medium earth orbit (MEO) and high earth orbit (HEO) satellite, which are widely used in most of navigation systems, has higher power loss and longer transmission delay than low earth orbit (LEO) satellites. Traditional constellation design has complex constraint functions, and its results are often not the optimal solution. In order to solve these problems, LEO satellites and genetic algorithm (GA) are used to design and optimize the configuration of navigation constellation. Firstly, GA is used to optimize the Globalstar system, and the correctness of this constellation design method is verified. Then, the constraints of LEO global navigation constellation are analyzed. SOC method and GA method are used for constellation configuration optimization. The results show that compared with the SOC method, the satellites number of GA method is reduced by 5, the number of orbits is reduced by 6, the maximum value of PDOP decreases from 7.46 to 2.62, and the coverage rate of PDOP availability increases from less than 99.3% to more than 99.98%. These demonstrates the effectiveness of this approach.

Key words： LEO satellite; global navigation; constellation configuration optimization; genetic algorithm

Cite this article

LI Huaijian , WEI Yanbo , DU Xiaojing . LEO Navigation Constellation Configuration Optimization Based on Genetic Algorithm[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(4) : 74 -78 . DOI: 10.15892/j.cnki.djzdxb.2021.04.017

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