@inproceedings{cfa0abe895d540719f78af7e94bca823,
title = "A Novel Model for Sea Surface Loss Transport in Complex Environments",
abstract = "The current prediction model for sea surface signal transmission is relatively simple to establish and has significant errors compared to the actual situation. This article establishes a novel sea transmission model based on the dual-path model and the modified Longley-Rice model, and applies the two models to different transmission distances. The relationship between the received signal power of ocean buoy antenna and distance was simulated by taking into account the absorption of water vapor on the sea surface, the influence of waves, and sea winds. The simulation results show that this model can be used to analyze the effects of complex sea surface environments and has some significance for sea surface communication.",
keywords = "Buoy, Dual-path model, Longley-Rice model, Sea surface signal transmission",
author = "Dingrui Liu and Jing Nie and Yanhua Peng and Hui Xu",
note = "Publisher Copyright: {\textcopyright} 2023 Applied Computational Electromagnetics Society (ACES).; 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 ; Conference date: 15-08-2023 Through 18-08-2023",
year = "2023",
doi = "10.23919/ACES-China60289.2023.10250084",
language = "英语",
series = "2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023",
address = "美国",
}