混沌理论在船舶辐射噪声特征提取中的应用

The application of chaos theory in the ship radiated noise feature extraction

随着海洋开发的深入,水声信号处理是水下目标识别的基础,由于目标辐射噪声的干扰,识别的精度会降低。船舶辐射噪声特征值提取是水声信号处理的重要组成。水下目标物辐射噪声是一个非线性信号,随着时间延长,传播行为随机性越来越强。混沌理论是研究非线性随机信号的重要理论,本文在研究船舶辐射噪声非线性特性及混沌理论的基础上,利用非线性多空间重构技术对辐射噪声特性进行提取,最后对水下目标噪声实测数据进行仿真。

With the development of ocean, underwater acoustic signal processing is the basis of underwater target recognition. Because of the interference of target radiation noise, the accuracy of recognition will be reduced. The extraction of ship radiated noise characteristic is an important component of underwater acoustic signal processing. The radiation noise of underwater target is a nonlinear signal, and the propagation behavior becomes more and more random with the extension of time. Chaos theory is an important theoretical study of nonlinear random signal, based on the study of the nonlinear characteristics of ship radiated noise and chaos theory, using nonlinear space reconstruction technique to extract the radiation noise,the measured data of target noise are simulated under water.