@inproceedings{5a6e2cd3ff1c4d6eaa2df09af79ec1d6,
title = "Assessment and prediction of complex electromagnetic environment based on Bayesian network",
abstract = "Aiming at the problem that it is difficult to determine the index weight when the fuzzy AHP is used to evaluate the complexity of the electromagnetic environment, AHP can not be used for environmental prediction and indexes are not enough to evaluate the energy domain. Our paper first analyzes the characteristics of the electromagnetic environment. Then put forward the index system of the complexity of the electromagnetic environment based on the Bayesian network, which is based on the advantages of the Bayesian network to deal with the uncertain decision problem. This assessment can wildly apply in Unmanned Aerial Vehicle (UAV) to improve the quality of communication. Finally, the experimental analysis of the electromagnetic environment complexity is carried out. The results show that the proposed model can quantitatively reflect the complex situation of the electromagnetic environment and predict the complexity of the electromagnetic environment well.",
keywords = "Assessment, Bayesian Network, Electromagnetic Environment, Prediction, UAV",
author = "Hu Yuan and Ding Wenrui and Liu Chunlei",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Unmanned Systems, ICUS 2017 ; Conference date: 27-10-2017 Through 29-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICUS.2017.8278327",
language = "英语",
series = "Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "120--125",
editor = "Xin Xu",
booktitle = "Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017",
address = "美国",
}