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LEO Constellation Optimization Model with Non-uniformly Distributed RAAN for Global Navigation Enhancement
Pan, Deng; Sun, Dan; Ren, Jing; Li, Mingtao
Department空间技术部
Source PublicationCHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2018 PROCEEDINGS, VOL I
2018
Volume497
Pages768-778
DOI10.1007/978-981-13-0005-9_63
Language英语
ISSN1876-1100
ISBN978-981-13-0005-9; 978-981-13-0004-2
AbstractThis paper established a constellation optimization model for global navigation enhancement, of which RAAN is non-uniformly distributed, aimed at GDOP (geometric dilution of precision) optimization of important cities around the world, using genetic algorithm to solve the constellation optimization problem and using STK to analyses the optimization results. The simulation results show, compared with the classic Walker constellation of which global uniformly distributed RAAN, the Leo constellation of global non-uniformly distributed RAAN not only finishes high precision worldwide global navigation, but reduce the number of satellite constellation, which is beneficial to reduce the cost and deploy rapidly.
KeywordNavigation enhancement GDOP LEO Walker constellation Non-uniformly distributed RAAN Genetic algorithm
Conference Name9th China Satellite Navigation Conference (CSNC) - Location, Time of Augmentation
Conference DateMAY 23-25, 2018
Conference PlaceHarbin, PEOPLES R CHINA
Indexed ByCPCI
Citation statistics
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6550
Collection空间技术部
Recommended Citation
GB/T 7714
Pan, Deng,Sun, Dan,Ren, Jing,et al. LEO Constellation Optimization Model with Non-uniformly Distributed RAAN for Global Navigation Enhancement[C],2018:768-778.
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