Modal Amplitude and Phase Estimation of NFP of Six-Mode FMF Based on Artificial Neural Network with the Help of Grey-Wolf-Optimizer

2020 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATIONS (ECOC)(2020)

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摘要
A simple and efficient method for estimating modal amplitude and phase of few-mode-fiber based on artificial-neural-network with the help of grey-wolf-optimizer is proposed. Experimentally obtained six-mode near-field-patterns of recently proposed six-mode mixer are analyzed and successfully reproduced for the first time.
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关键词
artificial neural network,grey-wolf-optimizer,six-mode mixer,modal phase estimation,modal amplitude estimation,six-mode near-field-pattern,six-mode few-mode-fiber
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