基于最大信噪比的潜艇振动信号盲分离算法

Submarine Vibration Signal Blind Separation Technology Based on Maximal Signal Noise Ratio

为解决复杂多信号源的振动信号处理难题,提出了一种基于最大信噪比的盲分离算法,对振动源信号进行分离提纯,然后对分离的各个信号进行后续处理的盲源分离技术。在介绍盲分离技术的基础上,采用基于最大信噪比的盲分离算法对分离效果进行了仿真。仿真结果表明,采用该方法在无需任何先验知识的情况下,可以很好地分离出各振动源信号,为后续的信号处理(如分析识别、减振降噪等)奠定了基础。

In order to solve the problem of complex multi-vibration source signal processing,this paper proposes a new blind source separation technology, which adopts maximal signal noise ratio technology to separate the original signal blindly and implement subsequent processing to each of the separated signals. Then the paper simulates the separation effect using SNR-based ICA algorithm. The simulation result shows that the original signal can be separated primely by adopting this method without any priori information. This study establishes a base for following signal processing, such as signal analysis and identification, vibrationisolation and so on.