@inproceedings{8acc4b97db5f46efad1f757746c9cbcd,
title = "An underwater target recognition method based on tracking, trajectory, and optimum seeking data joint",
abstract = "Most of the underwater target recognition method are built on the spectral analysis. The recognition accuracy isn{\textquoteright}t high in the short attack time which leads the torpedo attack on the false target. A method which take the tracking, trajectory and optimum seeking data join have been put forward, which can use the targets{\textquoteright} various information for tracking, trajectory control, optimum seeking, so multiple information can be used for other processes. The method can take full advantage of all key data during the attacking progress which can improve the recognition and attack accuracy. The final attack simulation results verified the high accuracy of the method.",
keywords = "Acoustics, Automatic target recognition, Feature, Military electronic countermeasures, Optimum seeking, Target tracking, Trajectory",
author = "Liang Yu and Cheng, {Yong Mei} and Chen, {Ke Zhe} and Liu, {Jian Xin} and Liu, {Zhun Ga}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016 ; Conference date: 01-06-2016 Through 03-06-2016",
year = "2016",
doi = "10.1007/978-3-319-40162-1_20",
language = "英语",
isbn = "9783319401614",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "185--193",
editor = "Garc{\'i}a-Garc{\'i}a, {Juli{\'a}n A.} and Ali Semalat and Grzegorz Bocewicz and Pawe{\l} Sitek and Javier Bajo and Sigeru Omatu and Izabela Nielsen",
booktitle = "Distributed Computing and Artificial Intelligence, 13th International Conference",
}