基于递归图理论的舰船辐射噪声的特征量分析

Characteristic quantity analysis of ship radiated noise based on recursive graph theory

水下目标特征值提取技术一直是研究船舶辐射噪声及水下目标识别的主要方式。舰船辐射噪声是一种非线性时变时序,一般利用非线性系统的状态迁移来描述并构建空间投影。递归图理论是一种混沌特质分析方法,利用信息特征熵概念来研究船舶辐射噪声关联维度。本文研究了船舶噪声辐射噪声空间的特征值及特征向量,给出了基于递归图理论的混沌特征量的维度计算方法,确定了辐射噪声空间矩阵的递归率和信息特征熵,最后进行了仿真。

Underwater target eigenvalue extraction is always the main way to study ship radiated noise and underwater target recognition.Ship radiated noise is a nonlinear time-varying time series,which is usually described by the state transition of nonlinear system and its spatial projection is constructed.The recursive graph theory is a chaotic characteristic analysis method,which uses the concept of information characteristic entropy to study the correlation dimension of ship radiated noise.This paper studies the characteristics of the space ship noise radiation noise value and the characteristic vector,presents the calculation method of chaotic characteristics of recursive graph theory based on the dimension,The recurrence rate and information characteristic entropy of the radiated noise spatial matrix are determined,finally,the simulation is carried out.