Channel estimation-based time-frequency neural network for post-equalization in underwater visible light communication

Haoyu Zhang; Li Yao; Chaoxu Chen; Yuan Wei; Chao Shen; Jianyang Shi; Junwen Zhang; Ziwei Li; Nan Chi

doi:10.3788/COL202422.060602

Chinese Optics Letters, Volume. 22, Issue 6, 060602(2024)

Channel estimation-based time-frequency neural network for post-equalization in underwater visible light communication

Haoyu Zhang¹, Li Yao¹, Chaoxu Chen¹, Yuan Wei¹, Chao Shen^1,2,3, Jianyang Shi^1,2,3, Junwen Zhang^1,2,3, Ziwei Li^1,2,3, and Nan Chi^1,2,3、*

Author Affiliations

¹Key Laboratory for Information Science of Electromagnetic Waves (MoE), Department of Communication Science and Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China

²Shanghai CIC of LEO Satellite Communication Technology, Fudan University, Shanghai 200433, China

³Shanghai ERC of LEO Satellite Communication and Application, Fudan University, Shanghai 200433, China

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References(15)

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[12] J. Shi, W. Xiao, Y. Ha et al. 3.76-Gbps yellow-light visible light communication system over 1.2 m free space transmission utilizing a Si-substrate LED and a cascaded pre-equalizer network. Opt. Express, 30, 33337(2022).

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[14] Y. Zhao, N. Chi. Partial pruning strategy for a dual-branch multilayer perceptron-based post-equalizer in underwater visible light communication systems. Opt. Express, 28, 15562(2020).

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Haoyu Zhang, Li Yao, Chaoxu Chen, Yuan Wei, Chao Shen, Jianyang Shi, Junwen Zhang, Ziwei Li, Nan Chi, "Channel estimation-based time-frequency neural network for post-equalization in underwater visible light communication," Chin. Opt. Lett. 22, 060602 (2024)

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