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has been cited by the following article:

• TITLE: Axial Micro-Strain Sensor Based on FM-FBG via Dual-Mode ML-FMF in Sensor Networks

  AUTHORS: Xiao Liang, Zhaoxin Geng, Jingcong Li, Pengyu Zhang, Wenqiang Liu

  KEYWORDS: Micro-Strain Sensor, ML-FMF, Dual-Mode Fiber, FM-FBG, Sensor Network

  JOURNAL NAME: Journal of Computer and Communications, Vol.8 No.10, October 22, 2020

  ABSTRACT: An in-fiber axial micro-strain sensor based on a Few Mode Fiber Bragg Grating (FM-FBG) is proposed and experimentally characterized. This FM-FBG is in inscribed in a multi-layer few-mode fiber (ML-FMF), and could acquire the change of the axial strain along fibers, which depends on the transmission dips. On account of the distinct dual-mode property, a good stability of this sensor is realized. The two transmission dips could have the different sensing behaviors. Both the propagation characteristics and operation principle of such a sensor are demonstrated in detail. High sensitivity of the FM-FBG, ~4 pm/με and ~4.5 pm/με within the range of 0 με - 1456 με, is experimentally achieved. FM-FBGs could be easily scattered along one fiber. So this sensor may have a great potential of being used in sensor networks.