Optical information transfer through random unknown diffusers using electronic encoding and diffractive decoding  

作　　者：Yuhang Li Tianyi Gan Bijie Bai Cagatay Isıl Mona Jarrahi Aydogan Ozcan 

机构地区：[1]University of California,Department of Electrical and Computer Engineering,Los Angeles,California,United States [2]University of California,Department of Bioengineering,Los Angeles,California,United States [3]University of California,California NanoSystems Institute,Los Angeles,California,United States

出　　处：《Advanced Photonics》2023年第4期85-99,共15页先进光子学（英文）

基　　金：supported by the U.S. Department of Energy (DOE), Office of Basic Energy Sciences, Division of Materials Sciences and Engineering under Award No. DE-SC0023088

摘　　要：Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due to random, unknown perturbations in the optical path. We demonstrate an optical diffractive decoder with electronic encoding to accurately transfer the optical information of interest, corresponding to, e.g., any arbitrary input object or message, through unknown random phase diffusers along the optical path. This hybrid electronic-optical model, trained using supervised learning, comprises a convolutional neural network-based electronic encoder and successive passive diffractive layers that are jointly optimized. After their joint training using deep learning,our hybrid model can transfer optical information through unknown phase diffusers, demonstrating generalization to new random diffusers never seen before. The resulting electronic-encoder and optical-decoder model was experimentally validated using a 3D-printed diffractive network that axially spans <70λ, whereλ = 0.75 mm is the illumination wavelength in the terahertz spectrum, carrying the desired optical information through random unknown diffusers. The presented framework can be physically scaled to operate at different parts of the electromagnetic spectrum, without retraining its components, and would offer low-power and compact solutions for optical information transfer in free space through unknown random diffusive media.

关 键 词：optical information transfer electronic encoding optical decoder diffractive neural network DIFFUSERS 

分 类 号：TN929.1[电子电信—通信与信息系统]