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Distributed Brillouin fiber sensing based on spectrum line fitting and wavelet packet denoising

机译:基于谱线拟合和小波包消噪的分布式布里渊光纤传感

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摘要

A novel signal processing method is proposed to improve the spatial resolution, frequency resolution and dynamic characteristics of BOTDR. For the BOTDR system with 50 ns pump pulse, by using spectrum line fitting technology based on Levenberg-Marquardt (LM) algorithm, the spatial resolution is improved from 5 m to 5 cm. Combination of LM fitting algorithm, a large frequency scanning interval is adopted without sacrificing measurement accuracy of the BOTDR system. It reduces the number of sampling points of Brillouin spectrum significantly. So, the fitting speed is improved greatly. This is the first time using a large scan interval to increase the spectrum line fitting speed. To improve the fitting speed, the difference between the reference and measured spectrum is used to estimate the variation of Brillouin frequency shift. The measured amplitude of Brillouin spectrum is used to estimate the width of region strain occurred. Finally, by using wavelet packet denoising technology, the spectra containing noise are fitted successfully.
机译:提出了一种新的信号处理方法,以提高BOTDR的空间分辨率,频率分辨率和动态特性。对于具有50 ns泵浦脉冲的BOTDR系统,通过使用基于Levenberg-Marquardt(LM)算法的频谱线拟合技术,空间分辨率从5 m提高到5 cm。结合LM拟合算法,采用较大的频率扫描间隔,而不会牺牲BOTDR系统的测量精度。它大大减少了布里渊光谱的采样点数量。因此,拟合速度大大提高。这是第一次使用较大的扫描间隔来提高频谱线拟合速度。为了提高拟合速度,参考频谱与实测频谱之间的差异用于估计布里渊频移的变化。布里渊光谱的测得振幅用于估计发生区域应变的宽度。最后,利用小波包去噪技术,成功拟合了包含噪声的频谱。

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