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Photonic-Assisted Modulation Classification for RF signals Using Probabilistic Neural Network

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Abstract

a photonic-assisted modulation classification for RF signals using PNN is proposed and experimentally demonstrated. The approach achieves >97% classification accuracy at -1~15 SNR with 160 training samples for each SNR value and modulation format.

© 2019 The Author(s)

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