Quality of Transmission Estimation for Multi-User Free Space Optical Communication Using Supervised Machine Learning

2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)（2021）

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摘要

A methodology based on supervised machine learning (e.g., support vector machine [SVM], artificial neural network [ANN], random forest [RF]) is proposed and experimentally demonstrated for signal-to-noise ratio (SNR) estimation in a multi-user free-space optical communication (FSOC) link. The proposed methodology relies on amplitude information of received mixed signals when users share time, band...

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关键词

Support vector machines,Histograms,Scalability,Time series analysis,Training data,Artificial neural networks,Receivers

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