Feature extraction method of ship-radiated noise based on dispersion entropy: A review

Frontiers in Physics

Physics

Guanni Ji¹ 

[1] null;

关键词: ship-radiated noise;    feature extraction;    dispersion entropy;    mode decomposition;    entropy;   

DOI  :  10.3389/fphy.2023.1146493

 received in 2023-01-17, accepted in 2023-02-09,  发布年份 2023

来源: Frontiers

【 摘 要 】

There is abundant ship information in ship-radiated noise, which is helpful for ship target recognition, classification and tracking. However, owing to the increasing complexity of the marine environment, it makes difficult to extract S-RN features. Dispersion entropy has been proven to be an excellent method to extract the features of S-RN by analyzing the complexity of S-RN, and has been widely used in feature extraction of S-RN. This paper summarizes the research progress of DE in the feature extraction of S-RN in recent years, and provides a comprehensive reference for researchers related to this topic. First, DE and its improved algorithm are described. Then the traditional and DE-based S-RN feature extraction methods are summarized, and the application of DE in S-RN feature extraction methods is concluded from two aspects: methods that apply DE algorithms only and methods that combine DE with mode decomposition algorithms. Finally, the research prospects of DE and the summary of this paper are given.

【 授权许可】

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