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The construction of the fiber-optic sensor for the recognition of perturbations and results of its studies are presented. As a sensor head, the sample of few-mode optical fiber is used. Changes of intermodal interference condition, caused by external perturbation, have generated changes of output speckle pattern. This output has been concerned as an intensity image and diffraction method has been applied for its recognition. The image feature extraction has been achieved by applying a computer-generated hologram in the Fourier plane of an output image. A size of ring and wedge generated by this hologram has been optimized by using the rough set theory. Then, a artificial neural network has been used to recognize the external perturbation without a necessary of troublesome analysis of intermode interactions. An additional advantage of this solution is the possibility to train the network to eliminate slow environmental perturbations.
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Leszek R. Jaroszewicz, Krzysztof A. Cyran, Stanislaw J. Klosowicz, Adam Mrozek, "Fiber optic sensor with a few-mode speckle pattern recognized by diffraction method," Proc. SPIE 3744, Interferometry '99: Techniques and Technologies, (13 August 1999); https://doi.org/10.1117/12.357737