18 August 2015 Intrusion localization algorithm based on linear spectrum in distributed Sagnac optical fiber sensing system
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Abstract
Fiber optic sensors are used for a large variety of sensing applications, including security applications and the monitoring of bridges, dams, and pipelines. We propose an algorithm that can achieve highly accurate and robust detection of multiple intrusions over distributed localizations (distributed sensing) in the Sagnac fiber sensing system. This distributed-sensing algorithm involves the application of the fast Fourier transform to the linear spectrum of the phase difference signals resulting from the intrusion. The distances or localizations for intrusions occurring at different places correspond to different “response” peaks, which can be conveniently evaluated in the final localization chart. The fundamental theory underlying the algorithm is presented, and its efficacy is demonstrated via a series of experiments with a 130-km long sensing fiber. The localization-sensing performance of our algorithm, with a minimum standard deviation of 28 m for 23 intrusions at same position, shows high robustness. We believe that our approach can significantly contribute to the development of fiber-optic sensing.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Shaohua Pi, Bingjie Wang, Bo Jia, Qi Sun, Qian Xiao, Dong Zhao, "Intrusion localization algorithm based on linear spectrum in distributed Sagnac optical fiber sensing system," Optical Engineering 54(8), 085105 (18 August 2015). https://doi.org/10.1117/1.OE.54.8.085105 . Submission:
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