@inproceedings{bd09408e912b4b428cdb5693b29aa8c8,
title = "Multi-target Attack Decision-Making in Time-Sensitive Missions Based on Artificial Potential Field and Entropy-AHP Method",
abstract = "For the time sensitive multi-target attack missions, a large amount of information in battlefield is miscellaneous and rapidly changing, so it is essential to study a more efficient and accurate decision-making method. The chief aim of this paper is to build real-time battlefield model and plan flight path with Artificial Potential Field (APF) method, meanwhile, a multi-attribute decision-making method based on information entropy-AHP is proposed to make dynamic decision of attack mission under sudden threats. In order to demonstrate the effectiveness of this method, a combat scenario model is employed. Simulation results show that the proposed decision-making method can quickly update the battlefield information and give decision results, which can meet the attack requirements of aircraft against multiple targets in time-sensitive missions.",
keywords = "Artificial Potential Field (APF), Decision-making, Entropy-AHP, Multi-target attack",
author = "Jiayue Hu and Guangwen Li and Weiguo Zhang and Qianlei Jia",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7_250",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "2993--3005",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
}