Acta Optica Sinica, Volume. 44, Issue 6, 0606004(2024)
A Low-Complexity and Hardware-Portable Non-Linear Equalization Algorithm and Experimental Demonstration of Its Real-Time Compensation for UWOC
Fig. 2. Linear list storage format for each order term in the Volterra algorithm. (a) Current time; (b) next time
Fig. 3. Data structure parameter update process. (a) Designed data structure; (b) data structure after executing operation ①; (c) data structure after executing operation ②; (d) data structure after executing operation ③
Fig. 4. Storage structure for the weights of each order parameter w(n). (a) Storage structure of w(n); (b) data structure after sparse operation
Fig. 6. Experimental setup and site of UWOC system. (a) Transmitter; (b) water tank for the experiment; (c) receiver
Fig. 7. Experimental results of Volterra algorithm consumption. (a) On-chip consumption of different pruning conditions in Volterra algorithm with different memory lengths; (b) weights of second-order parameters after weight estimation
Fig. 8. BER of Volterra algorithm with different pruning conditions as a function of symbol rate. (a) Memory length of 10; (b) memory length of 14
Fig. 9. BER of Volterra algorithm with memory lengths of 18 and 20 under different pruning conditions as a function of symbol rate. (a) Memory length of 18; (b) memory length of 20
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Huhao Xiao, Hongxi Yin, Jianying Wang, An Huang, Xiuyang Ji. A Low-Complexity and Hardware-Portable Non-Linear Equalization Algorithm and Experimental Demonstration of Its Real-Time Compensation for UWOC[J]. Acta Optica Sinica, 2024, 44(6): 0606004
Category: Fiber Optics and Optical Communications
Received: Oct. 17, 2023
Accepted: Dec. 15, 2023
Published Online: Mar. 19, 2024
The Author Email: Yin Hongxi (hxyin@dlut.edu.cn)
CSTR:32393.14.AOS231666