用于光纤故障自动分析的线性化Bregman迭代法
Linearized Bregman Iterations for Automatic Optical Fiber Fault Analysis
摘要：
光网络的物理层的监控是一个非常相关的课题。为了检测光纤故障，光时域反射计（OTDR）等单端解决方案可以精确测量故障分布。将OTDR与用于高维稀疏参数估计的信号处理方法相结合，可以在缩短的时间内获得自动化和可靠的结果。在这项工作中，一个测量系统组成的光子计数OTDR数据采集单元和处理单元的基础上，线性化Bregman迭代算法的自动故障查找的建议。提出了一个深入的比较研究所提出的算法的故障检测能力在噪声的存在下。特征，如灵敏度，特异性，处理时间和复杂性，在模拟环境中进行了分析。使用光子计数OTDR子系统进行数据采集和使用基于线性化Bregman的处理单元进行自动数据分析的实际测量结果非常准确。它的结论是，建议的测量系统是特别适合于故障查找的任务。该算法的自然特性促进了将解决方案嵌入数字硬件，从而降低了成本和处理时间。
英文摘要：
Supervision of the physical layer of optical networks is an extremely relevant subject. To detect fiber faults, single-ended solutions such as the Optical Time Domain Reflectometer (OTDR) allow for precise measurements of fault profiles. Combining the OTDR with a signal processing approach for high-dimensional sparse parameter estimation allows for automated and reliable results in reduced time. In this work, a measurement system composed of a Photon-Counting OTDR data acquisition unit and a processing unit based on a Linearized Bregman Iterations algorithm for automatic fault finding is proposed. An in-depth comparative study of the proposed algorithm's fault-finding prowess in the presence of noise is presented. Characteristics such as sensitivity, specificity, processing time, and complexity, are analysed in simulated environments. Real-life measurements that are conducted using the Photon-Counting OTDR subsystem for data acquisition and the Linearized Bregman-based processing unit for automated data analysis demonstrated accurate results. It is concluded that the proposed measurement system is particularly well suited to the task of fault finding. The natural characteristic of the algorithm fosters embedding the solution in digital hardware, allowing for reduced costs and processing time.
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