Acta Optica Sinica, Volume. 44, Issue 12, 1201001(2024)
Communication Performance of Underwater Wireless Optical Deep Autoencoder
Fig. 3. Comparison of BER between the autoencoder one-hot vector transmission and the traditional MPSK modulation system
Fig. 4. Loss of network training for the autoencoder under different marine environments and SNRs. (a) Clear ocean water; (b) costal ocean water
Fig. 5. BER performance of the autoencoder using adaptive transmission under different marine environments and SNRs. (a) Clear ocean water; (b) costal ocean water
Fig. 6. Adaptive selection of the optimal vector dimension
Fig. 7. Data rate performance of adaptive transmission with autoencoder under different marine environments and SNRs. (a) Clear ocean water; (b) costal ocean water
Fig. 8. Loss of network training for the autoencoder under different waters and turbulence intensity. (a) Clear ocean water; (b) costal ocean water
Fig. 9. BER performance of the autoencoder using adaptive transmission under different marine environments and turbulence intensity. (a) Clear ocean water; (b) costal ocean water
Fig. 10. Adaptive selection of the optimal vector dimension
Fig. 11. Data rate performance of the autoencoder using adaptive transmission under different marine environments and training turbulence intensity. (a) Clear ocean water; (b) costal ocean water
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Dan Chen, Rui Wang, Feier Ai, Linhai Tang. Communication Performance of Underwater Wireless Optical Deep Autoencoder[J]. Acta Optica Sinica, 2024, 44(12): 1201001
Category: Atmospheric Optics and Oceanic Optics
Received: Jun. 26, 2023
Accepted: Aug. 22, 2023
Published Online: Jun. 13, 2024
The Author Email: Chen Dan (chdh@xaut.edu.cn)
CSTR:32393.14.AOS231188