Using a conventional semiconductor laser and a multimode optical fiber we study experimentally how the speckle pattern depends on the laser pump current and on the image acquisition settings. During multimode fiber (MMF)-based information transmission, strong and persistent external disturbances can readily induce mode coupling, significantly degrading image reconstruction and posing major challenges for practical applications. To ensure stable transmission, this paper analyzes mode. In this work, we present an alternative fiber-optic vibration sensing strategy that harnesses a multimodal architecture com-bining speckle and polarization interrogation. The ex-perimental results demonstrate the concept by achieving speckle-based signal source localization with centimeter-range. The speckle patterns, segmented by three methods of segmentation, as Centering (1), Quartering (2) and Surrounding (3), are reconstructed into input images by Complex Artificial Neural Network (CANN). Plastic optical fibers are used in this work due to its excellent flexibility and adaptability to build sensor heads. Here, we show that by tracking the evolution of.
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