相干光传输系统中基于神经网络的非线性补偿均衡器的FPGA实现探析
信号处理
2022-06-27 v1 机器学习
摘要
首次将基于循环与前馈神经网络的非线性补偿均衡器实现于FPGA中，其复杂度与色散均衡器相当。我们证明了基于NN的均衡器可优于每跨距一步的DBP。
引用
@article{arxiv.2206.12180,
title = {Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems},
author = {Pedro J. Freire and Michael Anderson and Bernhard Spinnler and Thomas Bex and Jaroslaw E. Prilepsky and Tobias A. Eriksson and Nelson Costa and Wolfgang Schairer and Michaela Blott and Antonio Napoli and Sergei K. Turitsyn},
journal= {arXiv preprint arXiv:2206.12180},
year = {2022}
}
备注
Accepted Oral in the European Conference on Optical Communication (ECOC) 2022