基于全变分辅助的相敏光时域反射技术

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采用了一种基于全变分(TV)算法的信号处理方法,用于相敏光学时域反射(φ-OTDR)系统中消除时域噪声和提高信噪比(SNR).通过将瑞利散射曲线转换成二维灰度图像,获取了瑞利散射曲线的强度和位置信息.TV算法通过梯度下降方法可以有效地平滑时域噪声并提取有用信息.实验结果表明,在长度为3.5 km的传感光纤上,采用TV算法可以有效地实现300 Hz振动信号的分布式测量,振动位置的SNR可以达到10.13 dB.在此基础上,进一步验证了TV算法对宽带振动信号的检测能力,成功实现了频率范围为300 Hz~1 kHz的宽带扰动信号识别.表明了TV算法在φ-OTDR系统中可以有效地提取振动信息.
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