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Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications

arXiv 2402.15288 ↗First posted 23 Feb 2024eess.SP cs.LGcited by 0

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Abstract (arXiv)

In this work, we present a high-throughput field programmable gate array (FPGA) demonstrator of an artificial neural network (ANN)-based equalizer. The equalization is performed and illustrated in real-time for a 30 GBd, two-level pulse amplitude modulation (PAM2) optical communication system.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 3 of its 8 references that are in the map. First posted on arXiv 23 Feb 2024.

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3 of 8 references.

References · 3

  1. 2022Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systemscited by 4
  2. 2023Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementationcited by 2
  3. 2024Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networkscited by 2

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