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http://hdl.handle.net/10397/106164
Title: | High-fidelity and high-robustness free-space ghost transmission in complex media with coherent light source using physics-driven untrained neural network | Authors: | Peng, Y Xiao, Y Chen, W |
Issue Date: | 11-Sep-2023 | Source: | Optics express, 11 Sept 2023, v. 31, no. 19, 498073, p. 30735-30749 | Abstract: | It is well recognized that it is challenging to realize high-fidelity and high-robustness ghost transmission through complex media in free space using coherent light source. In this paper, we report a new method to realize high-fidelity and high-robustness ghost transmission through complex media by generating random amplitude-only patterns as 2D information carriers using physics-driven untrained neural network (UNN). The random patterns are generated to encode analog signals (i.e., ghost) without any training datasets and labeled data, and are used as information carriers in a free-space optical channel. Coherent light source modulated by the random patterns propagates through complex media, and a single-pixel detector is utilized to collect light intensities at the receiving end. A series of optical experiments have been conducted to verify the proposed approach. Experimental results demonstrate that the proposed method can realize high-fidelity and high-robustness analog-signal (ghost) transmission in complex environments, e.g., around a corner, or dynamic and turbid water. The proposed approach using the designed physics-driven UNN could open an avenue for high-fidelity free-space ghost transmission through complex media. | Publisher: | Optical Society of America | Journal: | Optics express | EISSN: | 1094-4087 | DOI: | 10.1364/OE.498073 | Rights: | © 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement (https://opg.optica.org/library/license_v2.cfm#VOR-OA). Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved. Journal © 2023 The following publication Yang Peng, Yin Xiao, and Wen Chen, "High-fidelity and high-robustness free-space ghost transmission in complex media with coherent light source using physics-driven untrained neural network," Opt. Express 31, 30735-30749 (2023) is available at https://dx.doi.org/10.1364/OE.498073. |
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