Multisource Target Classification Based on Underwater Channel Cepstral Features

作     者：LI Xiukun JIA Hongjian DONG Jianwei QIN Jixing LI Xiukun;JIA Hongjian;DONG Jianwei;QIN Jixing

作者机构：College of Underwater Acoustic EngineeringHarbin Engineering UniversityHarbin 150001China Acoustic Science and Technology LaboratoryHarbin Engineering UniversityHarbin 150001China Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University)Ministry of Industry and Information TechnologyHarbin 150001China State Key Laboratory of AcousticsInstitute of AcousticsChinese Academy of SciencesBeijing 100190China 

出 版 物：《Journal of Ocean University of China》 (中国海洋大学学报（英文版）)

年 卷 期：2022年第21卷第4期

页      面：917-925页

核心收录：

学科分类：0710[理学-生物学] 0908[农学-水产] 0707[理学-海洋科学] 08[工学] 0815[工学-水利工程] 0824[工学-船舶与海洋工程] 082401[工学-船舶与海洋结构物设计制造] 

基　　金：This study was supported by the National Natural Sci-ence Foundation of China(No.11774073) the State Key Laboratory of Acoustics(No.SKLA201904) 

主　　题：shipping-radiated noise underwater channel cepstral features target classification 

摘      要：Passive target detection through shipping-radiated noise is a key technology in current underwater operations and is of great research value in civil and military *** this study,the stable spectral line component of shipping-radiated noise is used as the research object,and the classification of multisource targets is studied from the perspective of underwater *** utilize the channel impulse response function as the classification basis of different ***,the underwater channel is estimated by the ***,the channel cepstral features carried by different spectral line components are extracted in ***,the spectral line components belonging to the same target are clustered by the cepstral feature distance to realize the classification of different *** simulation and experimental results verify the effectiveness of the proposed method in this research.