Open AccessFeature extraction of target echo based on wavelet energy spectrum
Author(s) -
Bo Zhou
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/4/042026
Subject(s) - wavelet , energy (signal processing) , kurtosis , acoustics , entropy (arrow of time) , frequency domain , computer science , spectral density , waveform , pattern recognition (psychology) , artificial intelligence , physics , mathematics , telecommunications , statistics , computer vision , radar , quantum mechanics
The characteristics of target echo are related to many complicated factors, such as transmission waveform, the structure, attitude and motion state of the target and multi-channels transmission of ocean channel. The characteristics of target echo in different time-frequency spaces are discussed. The echo is recognized by the combination of different characteristic spaces such as energy, frequency band, entropy, kurtosis and variance of the wavelet energy spectrum. Firstly, the wavelet energy spectrum in time domain by using the continuous wavelet transformation, then the energy spectrum entropy describing quantitatively signals varying with time was calculated along the time axis, and their time-wavelet energy spectrum were different. The data processing shows that segmented spectrum center, spectral bandwidth can classify different types of underwater echoes to some extent.