Frequency Domain Analysis and Convolutional Neural Network Based Modulation Signal Classification Method in OFDM System

2021 ◽  
Author(s):  
Yue Hao ◽  
Xianpeng Wang ◽  
Xiang Lan
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Frequency Domain ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Signal Classification ◽  
Classification Method ◽  
Ofdm System ◽  
Modulation Signal

scholarly journals Time-Efficient Convolutional Neural Network-Assisted Brillouin Optical Frequency Domain Analysis

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2724
Author(s):  
Christos Karapanagiotis ◽  
Aleksander Wosniok ◽  
Konstantin Hicke ◽  
Katerina Krebber
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Convolutional Neural Network ◽  
Frequency Domain ◽  
Curve Fitting ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Processing Method ◽  
Optical Frequency ◽  
Post Processing

To our knowledge, this is the first report on a machine-learning-assisted Brillouin optical frequency domain analysis (BOFDA) for time-efficient temperature measurements. We propose a convolutional neural network (CNN)-based signal post-processing method that, compared to the conventional Lorentzian curve fitting approach, facilitates temperature extraction. Due to its robustness against noise, it can enhance the performance of the system. The CNN-assisted BOFDA is expected to shorten the measurement time by more than nine times and open the way for applications, where faster monitoring is essential.

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