数字海洋与水下攻防2025，Vol.8Issue(5)：570-574,5.DOI:10.19838/j.issn.2096-5753.2025.05.006
瑞利复杂度-色散熵平面:一种新的水声信号非线性特征提取方法
Rényi Complexity-Dispersion Entropy Plane:Novel Algorithm for Nonlinear Feature Extraction of Underwater Acoustic Signals
摘要
Abstract
To address the limitation of traditional entropy feature extraction algorithms in comprehensively characterizing signal complexity,a feature extraction method called the Rényi complexity-dispersion entropy plane(RCDEP)is proposed in this paper.First,dispersion entropy is redefined within the framework of Rényi entropy.Next,Rényi dispersion entropy is incorporated into the statistical complexity framework,where Rényi complexity is derived by defining the imbalance degree of the probability density distribution and multiplying it with Rényi dispersion entropy.Finally,a two-dimensional feature plane is constructed by combining Rényi complexity and Rényi dispersion entropy.Simulation results demonstrate that the starting point,convergence slope,and endpoint of RCDEP can serve as discriminative features for signals,enabling simultaneous quantification of the randomness of time series and the presence of correlation structures.Experimental analysis reveals distinct RCDEP features among cargo ships,tankers,and tugboats,exhibiting strong separability.关键词
瑞利熵/复杂度-熵平面/色散熵Key words
Rényi entropy/complexity-entropy plane/dispersion entropy分类
通用工业技术引用本文复制引用
PENG Lei,CHEN Zhe,ZHANG Yuxing,WANG Qinglin,HUANG Yifan..瑞利复杂度-色散熵平面:一种新的水声信号非线性特征提取方法[J].数字海洋与水下攻防,2025,8(5):570-574,5.基金项目
江西省教育厅科学技术研究一般项目"基于时序模式表征的水声信号熵特征提取方法研究"(GJJ2201640) （GJJ2201640）
广西技术创新引导专项"基于双频多波束声呐的水下人造物高分辨探测研究"(桂科 AC25069006) （桂科 AC25069006）
广西科技基地和人才专项"基于深度学习的声呐图像识别方法研究"(桂科 AD21220098). （桂科 AD21220098）
