A fast satellite selection algorithm for multi-GNSS marine positioning based on improved particle swarm optimisation-Reference-Cited by-同舟云学术

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A fast satellite selection algorithm for multi-GNSS marine positioning based on improved particle swarm optimisation

Published:2021-10-31 Issue: Volume: Page:1-12
ISSN:0039-6265
Container-title:Survey Review
language:en
Short-container-title:Survey Review

Author:

Guan Xiaoguo¹,Chai Hongzhou²,Xiao Guorui²^ORCID,Han Jie¹,Han Shijing²,Shufeng Miao³

Affiliation:

1. Xuchang University, Xuchang, Henan 461000, People’s Republic of China

2. Information Engineering University, Zhengzhou, Henan 450001, People’s Republic of China

3. Wuhan Kedao Geographical Information Engineering Co., Ltd, Wuhan, Hubei 430081, People’s Republic of China

Funder

National Natural Science Foundation of China

Science and Technology Department of Henan Province

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00396265.2021.1991175

Reference38 articles.

1. System identification and control using adaptive particle swarm optimization

2. An immune algorithm approach to the scheduling of a flexible PCB flow shop

3. Satellite Selection Method for Multi-Constellation GNSS Using Convex Geometry

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A fast satellite selection algorithm for positioning in LEO constellation;Advances in Space Research;2024-01

2. Signal Occlusion-Resistant Satellite Selection for Global Navigation Applications Using Large-Scale LEO Constellations;Remote Sensing;2023-10-16

3. Performance analysis of oceanographic research vessel precise point positioning based on BDS/GNSS RTK receivers;Measurement;2023-04

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