A study on complexity feature extraction of ship radiated signals based on a multi-scale permutation entropy method

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (12) : 225-230.

CHEN Zhe, LI Yaan

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Abstract

In order to solve the problem of feature extraction of ship radiated signals in complex ocean environment, a multi-scale permutation entropy method based the complexity feature extraction method for ship radiated signals was proposed.Firstly, the center frequency of intrinsic mode function with the highest energy, the energy difference between high and low frequency, permutation entropy and multi-scale permutation entropy were respectively used to extracted features of five types of ship radiated signals.Then the extracted ship features by four kinds of methods were respectively sent into a probability neural network for identification.The study discovers that multi-scale permutation entropy is a powerful nonlinear characteristic because it has good consistency and stability and is able to describe a signal over multiple scales.The results indicate that the multi-scale permutation entropy method has a good separability.The identification accuracy is obvious higher than other ship radiated noise feature extraction methods when using multi-scale permutation entropy as the feature.

Key words

multi-scale permutation entropy / complexity / ship radiated noise / ensemble empirical mode decomposition / feature extraction

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CHEN Zhe, LI Yaan. A study on complexity feature extraction of ship radiated signals based on a multi-scale permutation entropy method[J]. Journal of Vibration and Shock, 2019, 38(12): 225-230

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