@inproceedings{9fc4d168c3f042ad88516ced50400fbc,
title = "Study on Air Combat Maneuvering Recognition Method Based on Centerline Estimation and Immune Fuzzy Neural Network",
abstract = "Accurate recognition of the target{\textquoteright}s current tactical maneuver is one of the prerequisites for air combat decision-making. It is an effective method to divide the target track into different segments and recognize the different segments separately. In this paper, the type recognition of piecewise maneuver based on fuzzy neural network is tried to realize. Firstly, the idea of {\textquotedblleft}centerline estimation{\textquotedblright} is used to propose a method to establish the recognition coordinate system. Then the normalized method is used to preprocess the track to solve the randomness and uncertainty of the flight track. In order to deal with the problem of irregular maneuver track, the track with different overload sizes is collected to produce training samples, which makes the neural network recognizer robust. Simulation results demonstrate the effectiveness of the method.",
keywords = "Air combat maneuvering, Centerline estimation, Fuzzy, Neural network, Recognition",
author = "Xianyong Jing and Honglun Wang and Manyi Hou and Yiheng Liu and Wei Liang",
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\_421",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "5109--5120",
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",
address = "德国",
}