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.

中文翻译：

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分布式干扰感知中的自跟踪相位检索算法

具有延迟校准的相位检索方法广泛用于光纤传感结构中，以提取分布的振动信息。然而，当在感测路径中引入突然变化时，该方法的性能并不令人满意，因为在这种情况下，DC补偿不是一个缓慢的变量。为了改善干涉式光纤结构的调整，提出了一种自跟踪相位恢复方法。在新算法中，通过在每个检索周期中校准DC补偿值来跟踪静态状态。当使用20 km长的传感光纤在真实场景中进行测试时，已经证明了新型检索算法的性能。实验结果表明，与传统的延迟校准方法相比，