在可变实验条件下部分训练基于机器学习的光通信系统的挑战

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP) Pub Date : 1900-01-01 DOI:10.1364/pcaop.2022.pth4f.1

W. Jarrett, S. Avramov-Zamurovic, J. Esposito, C. Nelson

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引用次数: 0

摘要

我们提出了在选定的实验场景中训练基于机器学习的水下无线光通信系统的挑战。该系统在不同的条件下进行了测试，包括轻微的光束错位和变化的光学湍流。

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Challenges when Partially Training a Machine Learning-Based Optical Communication System in Variable Experimental Conditions

We present challenges when training a machine learning-based underwater wireless optical communication system in selected experimental scenarios. The system is tested under different conditions, that include minor beam misalignment and varying optical turbulence.

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来源期刊

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)

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