基于BSS的含噪声机械振动信号分离研究

水下航行器的噪声源识别面临的两个问题(:1)无法获得振源信号(,2)测得振动信号有环境噪声影响且振源之间相互耦合。将环境噪声作为一个独立的噪声源,给出瞬时混合信号的盲源分离(BSS)数学模型;利用基于二阶统计特性的两次去相关盲源分离算法,对机械振动加白噪声的混合信号和水池试验实测混合信号进行分离;通过试验验证两次去相关盲源分离方法可以用来解决上述问题。

Separation of Mechanical Vibration Signals Including Environmental Noise Based on Blind Source Separation

There are two problems in identification of mechanical mechanical vibration signals of the underwater navigation object. Firstly, the vibration signals are coupling mutually. Secondly, the vibration signals can not be measured by sensors. In this paper, the additional noise was regarded as an independent source signal and the mathematics model of BSS for the instantaneous mixed signals was proposed. With the double decorrelaion blind separation algorithm, the mixed vibration signals including the additional noise were separated . Finally, the feasibility of the algorithm was testified by the separation simulation of the vibration signals including the additional noise.