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Investigation of a Signal Demodulation Method based on Wavelet Transformation for OFDR to Enhance Its Distributed Sensing Performance

机译:基于小波变换的OFDR增强分布式传感性能的信号解调方法研究。

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摘要

Optical fiber distributed sensing that is based on optical frequency domain reflectometer (OFDR) is a promising technology for achieving a highest spatial resolution downwards to several millimeters. An OFDR signal demodulation method that is based on Morlet wavelet transformation (WT) is demonstrated in detail to improve the resolution of distributed sensing physical quantity under a high spatial resolution, aiming at the trade-off between spatial and spectrum resolution. The spectrum resolution, spatial interval of the measured gauges, and spatial resolution can be manually controlled by adjusting the wavelet parameters. The experimental results that were achieved by the wavelet transformation (WT) method are compared with these by short time Fourier transformation (STFT) method and they indicate that significant improvements, such as strain resolution of 1 με, spatial resolution of 5 mm, average repeatability of 4.3 με, and stability of 7.3 με within one hour, have been achieved. The advantages of this method are high spatial and spectral resolution, robust, and applicability with current OFDR systems.
机译:基于光频域反射仪(OFDR)的光纤分布式传感是一种有前途的技术,可实现向下至几毫米的最高空间分辨率。详细介绍了一种基于Morlet小波变换(WT)的OFDR信号解调方法,旨在在空间分辨率和频谱分辨率之间进行权衡,从而在高空间分辨率下提高分布式传感物理量的分辨率。频谱分辨率,测量仪表的空间间隔和空间分辨率可以通过调整小波参数来手动控制。将小波变换(WT)方法获得的实验结果与短时傅立叶变换(STFT)方法获得的实验结果进行比较,结果表明,应变分辨率为1με,空间分辨率为5 mm,平均重复性得到了显着改善。达到4.3με的稳定性,并且在一小时内达到7.3με的稳定性。这种方法的优点是空间和光谱分辨率高,鲁棒性强,并且适用于当前的OFDR系统。

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