Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

An Improved PSO Algorithm for Direction Finding with Tetrahedral-based USBL System

Authors
Jian Huang, Shenggang Yan
Corresponding Author
Jian Huang
Available Online August 2018.
DOI
https://doi.org/10.2991/caai-18.2018.31How to use a DOI?
Keywords
particle swarm optimization; ultra-short baseline; region-division; adaptive
Abstract

Aiming at the problem that the standard particle swarm optimization algorithm has a slow convergence speed and easy to fall into the local optimum, the method of region-division is introduced to dynamically adjust the inertia weight and learning factors of the particle to achieve the balance between optimization ability and convergence speed, and adaptive mutation operation are used to avoid the population falling into the local optimum. The proposed algorithm is applied to the target direction finding by a tetrahedral-based ultra-short baseline positioning system. Simulation experiments show that the proposed algorithm can effectively improve the accuracy of direction finding and achieve the purpose of accelerating the convergence of PSO algorithm.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
August 2018
ISBN
978-94-6252-595-5
ISSN
2589-4919
DOI
https://doi.org/10.2991/caai-18.2018.31How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jian Huang
AU  - Shenggang Yan
PY  - 2018/08
DA  - 2018/08
TI  - An Improved PSO Algorithm for Direction Finding with Tetrahedral-based USBL System
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 130
EP  - 136
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.31
DO  - https://doi.org/10.2991/caai-18.2018.31
ID  - Huang2018/08
ER  -