@inproceedings{0b8a9f5aef9143a8a5f70e85d82f0ac6,
title = "Ground-based Radio Navigation Base Station Deployment Method based on Improved Multi-Objective Particle Swarm Optimization",
abstract = "The ground-based radio navigation system is an indispensable part of the resilient positioning, navigation, and timing (PNT) system, and the configuration of the ground-based radio navigation base station determines the positioning accuracy and system coverage of the ground-based navigation system. To improve the system coverage while reducing the system dilution of precision (DOP) value, this paper proposes a ground-based radio navigation base station deployment method based on an improved multi-objective particle swarm optimization (IMOPSO) algorithm. This method searches for the optimal deployment location of ground-based radio navigation base stations under the constraints of DOP and coverage. Based on the standard multi-objective particle swarm optimization algorithm, this paper improved the population individual initialization method and added position judgment criteria. Finally, simulated experimental results verified that the proposed method could simultaneously optimize coverage and DOP distribution.",
keywords = "coverage, DOP, IMOPSO, station deployment",
author = "Jiawei Liu and Chengyan He and Zhaolin Zhang and Chuang Han and Ling Wang and Mingliang Tao",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024 ; Conference date: 31-07-2024 Through 02-08-2024",
year = "2024",
doi = "10.1109/ICEICT61637.2024.10670932",
language = "英语",
series = "2024 IEEE 7th International Conference on Electronic Information and Communication Technology, ICEICT 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1153--1156",
booktitle = "2024 IEEE 7th International Conference on Electronic Information and Communication Technology, ICEICT 2024",
}