Distributed Coherent Sensing Over Deployed Fibers for Network as a Sensor Applications

We discuss the performance of Coherent-MIMO-DFS over deployed optical networks in various configurations and address technological challenges such as adaptation to various fiber types and disturbance identification. Two different field trial results are exploited, demonstrating the adaptability of our distributed fiber sensing interrogator to the diverse environments that can be encountered in the context of sensing over terrestrial telecommunication networks. We discuss the advantages of extracting the full backscattered Jones matrices using a DFS interrogator. Mechanical events including threats to the infrastructure are localized and identified and different identification methods are discussed. We draw a correspondence between lab measurements and field events based on the type of environment, and finally we present a classification method based on transfer learning with 90% accuracy.