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Electronics 2019, 8(1), 61; https://doi.org/10.3390/electronics8010061

A Fusion Frequency Feature Extraction Method for Underwater Acoustic Signal Based on Variational Mode Decomposition, Duffing Chaotic Oscillator and a Kind of Permutation Entropy

1
Faculty of Information Technology and Equipment Engineering, Xi’an University of Technology, Xi’an 710048, China
2
College of Electrical & Information Engineering, ShaanXi University of Science & Technology, Xi’an 710021, China
3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
4
School of Art and Design, Inner Mongolia University of Science & Technology, Baotou 014010, China
*
Authors to whom correspondence should be addressed.
Received: 5 December 2018 / Revised: 26 December 2018 / Accepted: 26 December 2018 / Published: 5 January 2019
(This article belongs to the Special Issue Signal Processing and Analysis of Electrical Circuit)
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Abstract

In order to effectively extract the frequency characteristics of an underwater acoustic signal under sensor measurement, a fusion frequency feature extraction method for an underwater acoustic signal is presented based on variational mode decomposition (VMD), duffing chaotic oscillator (DCO) and a kind of permutation entropy (PE). Firstly, VMD decomposes the complex multi-component underwater acoustic signal into a set of intrinsic mode functions (IMFs), so as to extract the estimated center frequency of each IMF. Secondly, the frequency of the line spectrum can be obtained by using DCO and a kind of PE (KPE). DCO is used to detect the actual frequency of the line spectrum for each IMF and KPE can determine the accurate frequency when the phase space track is in the great periodic state. Finally, the frequency characteristic parameters acted as the input of the support vector machine (SVM) to distinguish different types of underwater acoustic signals. By comparing with the other three traditional methods for simulation signal and different kinds of underwater acoustic signals, the results show that the proposed method can accurately extract the frequency characteristics and effectively realize the classification and recognition for the underwater acoustic signal. View Full-Text
Keywords: variational mode decomposition (VMD); duffing chaotic oscillator (DCO); permutation entropy (PE); feature extraction; frequency characteristic; underwater acoustic signal; ship-radiated noise variational mode decomposition (VMD); duffing chaotic oscillator (DCO); permutation entropy (PE); feature extraction; frequency characteristic; underwater acoustic signal; ship-radiated noise
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Li, Y.; Chen, X.; Yu, J.; Yang, X. A Fusion Frequency Feature Extraction Method for Underwater Acoustic Signal Based on Variational Mode Decomposition, Duffing Chaotic Oscillator and a Kind of Permutation Entropy. Electronics 2019, 8, 61.

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