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Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders

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arxiv 2312.16003 v1 pith:DLJB5E54 submitted 2023-12-26 eess.SP

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keywords blindequalizationfrequency-domainachieveautoencoderscma-basedcoherentcommonly
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We propose a novel frequency-domain blind equalization scheme for coherent optical communications. The method is shown to achieve similar performance to its recently proposed time-domain counterpart with lower computational complexity, while outperforming the commonly used CMA-based equalizers.

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Cited by 1 Pith paper

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  1. Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications

    eess.SP 2024-11 unverdicted novelty 1.0 of 10

    A mini-review of the authors' prior work on VAE-based blind equalization, FPGA-implemented CNN equalizers, and spiking neural network equalizers for optical communications.

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