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Seeing at a distance with multicore fibers
用多芯光纤远距离观察
マルチコア光ファイバを用いた遠隔観察
멀티코어 광섬유로 원거리 관찰
Observación a distancia con fibra óptica multicéntrica
Observation à distance avec fibre multicœur
Дистанционное наблюдение с помощью многоэлементного оптического волокна
Haogong Feng 冯浩宫 ¹, Xi Chen 陈曦 ¹, Runze Zhu 朱润泽 ¹, Yifeng Xiong 熊毅丰 ¹, Ye Chen 陈烨 ², Yanqing Lu 陆延青 ¹, Fei Xu 徐飞 ¹
¹ National Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China
中国 南京 南京大学现代工程与应用科学学院 固体微结构物理国家重点实验室 人工微结构科学与技术协同创新中心
² College of Physics, MIIT Key Laboratory of Aerospace Information Materials and Physics, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
中国 南京 南京航空航天大学物理学院 空天信息材料与物理工信部重点实验室 航空航天结构力学及控制全国重点实验室
Opto-Electronic Advances, 5 June 2024
Abstract

Images and videos provide a wealth of information for people in production and life. Although most digital information is transmitted via optical fiber, the image acquisition and transmission processes still rely heavily on electronic circuits. The development of all-optical transmission networks and optical computing frameworks has pointed to the direction for the next generation of data transmission and information processing.

Here, we propose a high-speed, low-cost, multiplexed parallel and one-piece all-fiber architecture for image acquisition, encoding, and transmission, called the Multicore Fiber Acquisition and Transmission Image System (MFAT). Based on different spatial and modal channels of the multicore fiber, fiber-coupled self-encoding, and digital aperture decoding technology, scenes can be observed directly from up to 1 km away. The expansion of capacity provides the possibility of parallel coded transmission of multimodal high-quality data.

MFAT requires no additional signal transmitting and receiving equipment. The all-fiber processing saves the time traditionally spent on signal conversion and image pre-processing (compression, encoding, and modulation). Additionally, it provides an effective solution for 2D information acquisition and transmission tasks in extreme environments such as high temperatures and electromagnetic interference.
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