最小控制递归平均算法对光纤声音传感系统的降噪作用

为了解决恶劣环境下分布式光纤声音传感系统的声音还原问题,搭建了一种基于改进最小控制递归平均(IMCRA)算法的多通道光纤声音传感系统。采用Sagnac和Mach-Zehnder复合光路结构,以单模光纤作为传感单元拾取声音信号,借助光开关实现了多通道信号采集,并通过改进最小控制递归平均算法对声音信号进行降噪、还原及增强处理。实验结果表明:该系统可在长为4km的传感光纤上实现对单音信号和语音信号的多通道扫描拾取,并能够在复杂情况下实现对语音信号信噪比的有效提升,为光纤声音传感系统在恶劣环境下的应用提供了一种新途径。

Noise Reduction Effect Of Minimum Control Recursive Average Algorithm On Optical Fiber Acoustic Sensor System

In order to solve the problem of sound reduction in distributed optical sound sensing system in harsh environment, a multi-channel optical fiber acoustic sensing system based on improved minimum control recursive average (IMCRA) algorithm was established. The composite optical path structure of Sagnac and Mach-Zehnder was built, and the single-mode optical fiber was used as the sensing unit to pick up the sound signal. The multi-channel signal acquisition was realized by the optical switch, and the sound signal was denoised, restored and enhanced by the IMCRA algorithm. The experimental results show that the system can realize multi-channel scanning and picking of single-tone signals and voice signals on the sensing fiber with a length of 4km, and can effectively improve the signal-to-noise ratio of the voice signal under complicated conditions. A new way for the application of optical fiber acoustic sensing systems is provided in harsh environments.