Template Matching Method with Distributed Acoustic Sensing Data and Simulation Data

Publication Date: 7/3/2022

Event: OECC/PSC 2022

Reference: TuC3-2: 1-3, 2022

Authors: Wataru Kohno, NEC Corporation; Reishi Kondo, NEC Corporation; Sakiko Mishima, NEC Corporation; Takashi Matsushita, NEC Corporation; Jian Fang, NEC Laboratories America, Inc.; Tomoyuki Hino, NEC Corporation

Abstract: We propose a new method to detect acoustic signals by matching distributed acoustic sensing data with simulation. In the simulation of the dynamic strain on an optical fiber, the optical fiber layouts and the gauge length are properly incorporated. We apply the proposed method to the acoustic-source localization and demonstrate the method localizes the source accurately even under the layouts which include the straight optical fiber for the sensing points with the large gauge-length settings.

Publication Link: https://ieeexplore.ieee.org/document/9849892