Speckle-Based Strain Sensing in Multimode Fiber

Abstract

The diversity of spatial modes present within a multimode fiber has been exploited for a wide variety of imaging and sensing applications. Here, we show that this diversity of modes can also be used to perform quantitative strain sensing by measuring the amplitude of the Rayleigh backscattered speckle pattern in a multimode fiber. While most Rayleigh based fiber sensors use single mode fiber, multimode fiber has the potential to provide lower noise due to the higher capture fraction of Rayleigh scattered light, higher non-linear thresholds, and the ability to avoid signal fading by measuring many spatial modes simultaneously. Moreover, while amplitude measuring single mode fiber based Rayleigh sensors cannot provide quantitative strain information, the backscattered speckle pattern formed in a multimode fiber contains enough information to extract a linear strain response. Here, we show that by tracking the evolution of the backscattered speckle pattern, the sensor provides a linear strain response and is immune to signal fading. The sensor has a noise floor of 2.9 p epsilon/root Hz, a dynamic range of 74 dB at 1 kHz, and bandwidth of 20 kHz. This work paves the way for a new class of fiber optic sensors with a simplified design and enhanced performance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 20, 2019
Accession Number
AD1099195

Entities

People

  • Allen P. Davis
  • Brandon Redding
  • Clay Kirkendall
  • Matthew J Murray

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acousto-Optic Modulators
  • Detectors
  • Fiber Bragg Gratings
  • Frequency
  • Frequency Bands
  • Frequency Response
  • Fungi
  • Measurement
  • Monitoring
  • Optics
  • Refractive Index
  • Scattering
  • Shot Noise
  • Sine Waves
  • Wave Mixing
  • Waveforms
  • Waveplates

Fields of Study

  • Physics

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Image Processing and Computer Vision.
  • Optical Fiber Sensing and Electromagnetic Propagation.