A Novel Linear Spectrum Frequency Feature Extraction Technique for Warship Radio Noise Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Duffing Chaotic Oscillator, and Weighted-Permutation Entropy

被引:39
作者
Li, Yuxing [1 ]
Wang, Long [2 ]
Li, Xueping [1 ]
Yang, Xiaohui [3 ]
机构
[1] Xian Univ Technol, Fac Informat Technol & Equipment Engn, Xian 710048, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Shaanxi, Peoples R China
[3] Inner Mongolia Univ Sci & Technol, Sch Art & Design, Baotou 014010, Inner Mongolia, Peoples R China
基金
中国国家自然科学基金;
关键词
underwater acoustic signal; linear spectrum; frequency feature extraction; empirical mode decomposition (EMD); complete EEMD with adaptive noise (CEEMDAN); duffing chaotic oscillator (DCO); weighted-permutation entropy (W-PE); warship radio noise; SHIP-RADIATED NOISE; EMD;
D O I
10.3390/e21050507
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Warships play an important role in the modern sea battlefield. Research on the line spectrum features of warship radio noise signals is helpful to realize the classification and recognition of different types of warships, and provides critical information for sea battlefield. In this paper, we proposed a novel linear spectrum frequency feature extraction technique for warship radio noise based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), duffing chaotic oscillator (DCO), and weighted-permutation entropy (W-PE). The proposed linear spectrum frequency feature extraction technique, named CEEMDAN-DCO-W-PE has the following advantages in comparison with other linear spectrum frequency feature extraction techniques; (i) as an adaptive data-driven algorithm, CEEMDAN has more accurate and more reliable decomposition performance than empirical mode decomposition (EMD) and ensemble EMD (EEMD), and there is no need for presetting parameters, such as decomposition level and basis function; (ii) DCO can detect the linear spectrum of narrow band periodical warship signals by way of utilizing its properties of sensitivity for weak periodical signals and the immunity for noise; and (iii) W-PE is used in underwater acoustic signal feature extraction for the first time, and compared with traditional permutation entropy (PE), W-PE increases amplitude information to some extent. Firstly, warship radio noise signals are decomposed into some intrinsic mode functions (IMFs) from high frequency to low frequency by CEEMDAN. Then, DCO is used to detect linear spectrum of low-frequency IMFs. Finally, we can determine the linear spectrum frequency of low-frequency IMFs using W-PE. The experimental results show that the proposed technique can accurately extract the line spectrum frequency of the simulation signals, and has a higher classification and recognition rate than the traditional techniques for real warship radio noise signals.
引用
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页数:17
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