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Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm

机译:最小均方误差算法的光纤振动传感器

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摘要

In order to enhance the signal-to-noise ratio (SNR) of a distributed optical fiber vibration sensor based on coherent optical time domain reflectometry (COTDR), a high extinction ratio cascade structure of an acousto-optic modulator and semiconductor optical amplifier is applied. The prior time-frequency analysis and least mean square error algorithm are adopted in the COTDR system for amplitude demodulation and phase demodulation, in order to improve the SNR by noise elimination. The experimental results show that the adaptive filter based on the least mean square error algorithm could realize the extraction of a three-order sinusoidal harmonic signal from strong background noise along the optical fiber and the SNR improvement from 10.4 dB to 42.2 dB. The proposed demodulation algorithm is suitable for the detection of vibration signals with characteristic frequencies in the application of acoustic fault diagnosis for electromechanical devices.
机译:为了提高基于相干光时域反射仪(COTDR)的分布式光纤振动传感器的信噪比(SNR),应用了声光调制器和半导体光放大器的高消光比级联结构。在COTDR系统中,采用先验的时频分析和最小均方误差算法进行幅度解调和相位解调,以消除噪声,提高信噪比。实验结果表明,基于最小均方误差算法的自适应滤波器可以实现从沿光纤的强本底噪声中提取三阶正弦谐波信号,信噪比从10.4 dB提高到42.2 dB。所提出的解调算法适用于特征频率振动信号的检测,在机电设备声学故障诊断中的应用。

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