太赫兹科学与电子信息学报2024，Vol.22Issue(4)：431-436,458,7.DOI:10.11805/TKYDA2022063
近海摩托艇信号的模态分解
Mode decomposition of offshore motorboat signals
摘要
Abstract
Hilbert-Huang Transform(HHT)is an efficient adaptive analysis method in nonlinear and nonstationary signal analysis,processing and feature extraction,which is widely used in engineering field.In this paper,Empirical Mode Decomposition(EMD)and Variational Mode Decomposition(VMD)are employed to compare and analyze the underwater acoustic signals of offshore motorboats.It is found that the energy of underwater acoustic signal is mainly concentrated in the low frequency band,and its amplitude is relatively large compared with that in the high frequency band.When analyzing this kind of signal,mode mixing is produced by EMD method,therefore using EMD cannot effectively decompose the signal and extract features.Nevertheless,using VMD method can effectively reduce the phenomenon of mode mixing and successfully extract its signal characteristics.The results show that VMD method is more effective in ship underwater acoustic signal processing and feature extraction.关键词
模态混叠/模态分解/船舶水声信号/特征提取Key words
mode mixing/mode decomposition/ship underwater acoustic signal/feature extraction分类
信息技术与安全科学引用本文复制引用
靳淑雅,苏煜,樊亚仙,陶智勇..近海摩托艇信号的模态分解[J].太赫兹科学与电子信息学报,2024,22(4):431-436,458,7.基金项目
广西自然科学基金资助项目(2021GXNSFDA075006 （）
2021GXNSFAA220086) （）
国家自然科学基金资助项目(12064005) （12064005）
