Deep learning for enhanced free-space optical communications
Atmospheric effects, such as turbulence and background thermal noise, inhibit the propagation of light used in ON–OFF keying (OOK) free-space optical (FSO) communication. Here we present and experimentally validate a convolutional neural network (CNN) to reduce the bit error rate of FSO communicatio...
| 主要な著者: | , , , , , , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
IOP Publishing
2023-01-01
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| シリーズ: | Machine Learning: Science and Technology |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1088/2632-2153/ad10cd |