舰船辐射噪声的分形布朗运动模型

Fractal Brownian Motion model of ship radiated noise

通过对分形布朗运动的研究，建立了舰船辐射噪声的分形布朗运动模型。在此模型基础上，提取了舰船辐射噪声的分数维参数，并构造了基于分形布朗随机场的分形特征矢量，在水声目标识别系统中提供了一种新的特征分析手段、通过分类对比实验，表明分形特征矢量可以成为水声目标分类的重要依据，能够有效地补充其他特征提取方法的不足．

In this paper, a fractal brownian motion(FBM) model of ship radiated noise was established based on the study of FBM. under this model, the fractal dimension of ship radianed noise is extracted,and the fractal feature vector (FFV) is constructed in the fractal Brownian Random Field(FBRE). By using these parameters, a new method for feature analysis is presented in the underwater acoustic target recognition. The comparative experiment of classification shows that the FFV can be used as important parameters to compensate for the shortcomings of other feature extraction methods.