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Open AccessArticle

A Novel Improved Feature Extraction Technique for Ship-Radiated Noise Based on IITD and MDE

by Zhaoxi Li 1, Yaan Li 1,*, Kai Zhang 2 and Jianli Guo 3
1
School of Marine Science and Technology, Northwestern Polytechnical University, Xi′an 710072, China
2
Department of Computer and Information of Science and Engineering, University of Florida, Gainesville, FL 32611, USA
3
School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong 723001, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(12), 1215; https://doi.org/10.3390/e21121215
Received: 14 November 2019 / Revised: 1 December 2019 / Accepted: 10 December 2019 / Published: 12 December 2019
Ship-radiated noise signal has a lot of nonlinear, non-Gaussian, and nonstationary information characteristics, which can reflect the important signs of ship performance. This paper proposes a novel feature extraction technique for ship-radiated noise based on improved intrinsic time-scale decomposition (IITD) and multiscale dispersion entropy (MDE). The proposed feature extraction technique is named IITD-MDE. First, IITD is applied to decompose the ship-radiated noise signal into a series of intrinsic scale components (ISCs). Then, we select the ISC with the main information through the correlation analysis, and calculate the MDE value as feature vectors. Finally, the feature vectors are input into the support vector machine (SVM) for ship classification. The experimental results indicate that the recognition rate of the proposed technique reaches 86% accuracy. Therefore, compared with the other feature extraction methods, the proposed method provides a new solution for classifying different types of ships effectively. View Full-Text
Keywords: ship-radiated noise; multiscale dispersion entropy(MDE); improved intrinsic time-scale decomposition (IITD); intrinsic scale component (ISC); feature extraction ship-radiated noise; multiscale dispersion entropy(MDE); improved intrinsic time-scale decomposition (IITD); intrinsic scale component (ISC); feature extraction
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Li, Z.; Li, Y.; Zhang, K.; Guo, J. A Novel Improved Feature Extraction Technique for Ship-Radiated Noise Based on IITD and MDE. Entropy 2019, 21, 1215.

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