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水声目标特征分析与识别技术
引用本文:方世良,杜栓平,罗昕炜,韩宁,徐晓男.水声目标特征分析与识别技术[J].中国科学院院刊,2019,34(3):297-305.
作者姓名:方世良  杜栓平  罗昕炜  韩宁  徐晓男
作者单位:东南大学水声信号处理教育部重点实验室;杭州应用声学研究所声纳技术重点实验室
摘    要:水声目标识别技术是水下信息获取和水下信息对抗的重要支撑技术,其核心是目标特征提取。文章针对水声目标辐射噪声和目标回波信号,探讨总结了水声目标信号的主要声源及目标特征表征、水声信号特征分析与提取方法、常用的水声目标分类识别方法,分析了水声目标特征提取与识别技术面临的问题,提出了今后的技术发展方向。

关 键 词:水声目标  信号特征表征  特征提取  分类识别
收稿时间:2019/3/6 0:00:00

Development of Underwater Acoustic Target Feature Analysis and Recognition Technology
FANG Shiliang,DU Shuanping,LUO Xinwei,HAN Ning and XU Xiaonan.Development of Underwater Acoustic Target Feature Analysis and Recognition Technology[J].Bulletin of the Chinese Academy of Sciences,2019,34(3):297-305.
Authors:FANG Shiliang  DU Shuanping  LUO Xinwei  HAN Ning and XU Xiaonan
Institution:Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China,Science and Technology on Sonar Laboratory, Hangzhou Applied Acoustic Research Institute, Hangzhou 310023, China,Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China,Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China and Science and Technology on Sonar Laboratory, Hangzhou Applied Acoustic Research Institute, Hangzhou 310023, China
Abstract:Underwater acoustic target recognition is an important supporting technology for the underwater information acquisition and countermeasure, and its core is the target feature extraction. Aiming at the underwater acoustic target radiated noise and the target echo signal, this paper discusses and summarizes the main sound sources and the target feature expression from the underwater acoustic target signals, the feature analysis and extraction methods of the underwater acoustic signal, and the commonly used underwater acoustic target classification methods as well as the recognition methods. The issues in the underwater acoustic target feature extraction and recognition technologies are analyzed, and the development directions in the future are proposed as well.
Keywords:underwater acoustic target  signal characterization  feature extraction  target classification and recognition
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