Research on anti-interference based on particle swarm optimization algorithm in high altitude platform stations
Authors: 
Mingxiang Guan, Zhou Wu, WeiGuo Yang, Bin Guo, Xuemei Cao, Hanying ChenAuthors Info & Claims
Abstract
The future communication network will be composed of ground-based, sea based, air-based and space-based networks to build a distributed air, space and sea integrated global intelligent network across regions, airspace and sea areas. High altitude platform stations (HAPS) communication system combines the advantages of satellite and land communication systems, and effectively avoids their disadvantages. Artificial intelligence technology enables the wireless communication network, establishes the mathematical model of the wireless network according to the historical situation of the wireless network then trains the mathematical model and continuously optimizes the model, so as to obtain the optimal model, and then adjusts the model parameters according to the changes of the network in practice. The multi antenna system is mounted on the high-altitude platform stations to form multi beam to provide services for users. The beams between different the users will interfere with each other, which will affect the beam performance of high-altitude platform stations. This paper introduces an anti-interference algorithm based on particle swarm optimization. First we construct the anti-interference mathematical model of multi antennas system of high-altitude platform station. Then we train this model through particle swarm optimization algorithm. Finally, the performance of the algorithm is verified by simulation.
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© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.
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Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 08 January 2022
Accepted: 08 November 2021
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- Research-article
Funding Sources
- Guangdong Province Higher Vocational Colleges and Schools Pearl River Scholar Funded Scheme
- a project of the Shenzhen Science and Technology Innovation Committee
- research platform and project of the Department of Education of Guangdong Province
- the key laboratory of LonggangDistrict
- the science and technology development center of the Ministry of Education of China
- Engineering Applications of the Artificial Intelligence Technology Laboratory
- scientific research project in school-level
- Young Innovation Talents in Universities of Guangdong Province
- Department of Education of Guangdong Province
- National Natural Science Foundation of China
- The Scientific and Technological Projects of Shenzhen
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