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首页> 外文期刊>Microwave and optical technology letters >A self-tracking phase retrieval algorithm used in distributed disturbance sensing
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A self-tracking phase retrieval algorithm used in distributed disturbance sensing

机译:一种用于分布式干扰感测的自动跟踪阶段检索算法

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摘要

The phase-retrieval method with delayed calibration is widely used in fiber-optic sensing structures to extract the distributed vibration messages. Yet, the performance of this method is not satisfactory when sudden changes are introduced in sensing path, for the DC compensation is not a slow variable under this situation. To improve the adjustment of interferometric fiber-optic structure, a self-tracking phase retrieval method is proposed. In the novel algorithm, the static state is tracked by calibrating DC compensation value in each retrieval period. When tested in the real scene with a 20 km-long sensing fiber, the performance of the novel retrieval algorithm has been proved. Experimental results show that, compared with the conventional delayed calibration method, self-tracking algorithm brings a better accuracy and uniformity performance in intrusion location test and shows a better adaptability to the environment.
机译:延迟校准相位恢复法广泛应用于光纤传感结构中,用于提取分布式振动信息。然而,当传感路径发生突变时,这种方法的性能并不令人满意,因为在这种情况下,直流补偿不是一个慢变量。为了提高干涉型光纤结构的可调性,提出了一种自跟踪相位恢复方法。在新算法中,通过校准每个恢复周期的直流补偿值来跟踪静态状态。在20公里长的传感光纤的真实场景中进行了测试,证明了新的检索算法的性能。实验结果表明,与传统的延迟校准方法相比,自跟踪算法在入侵定位测试中具有更好的准确性和一致性,并且对环境具有更好的适应性。

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