| 한글제목(Korean Title) |
Nonlinear Compensation Using Artificial Neural Network in Radio-over-Fiber System |
| 영문제목(English Title) |
Nonlinear Compensation Using Artificial Neural Network in Radio-over-Fiber System |
| 저자(Author) |
Andres C. Najarro
Sung-Man Kim
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| 원문수록처(Citation) |
VOL 16 NO. 01 PP. 0001 ~ 0005 (2018. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In radio-over-fiber (RoF) systems, nonlinear compensation is very important to meet the error vector magnitude (EVM) requirement of the mobile network standards. In this study, a nonlinear compensation technique based on an artificial neural network (ANN) is proposed for RoF systems. This technique is based on a backpropagation neural network (BPNN) with one hidden layer and three neuron units in this study. The BPNN obtains the inverse response of the system to compensate for nonlinearities. The EVM of the signal is measured by changing the number of neurons and the hidden layers in a RoF system modeled by a measured data. Based on our simulation results, it is concluded that one hidden layer and three neuron units are adequate for the RoF system. Our results showed that the EVMs were improved from 4.027% to 2.605% by using the proposed ANN compensator.
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| 키워드(Keyword) |
Artificial neural network
Nonlinear compensation
Radio over fiber
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| 파일첨부 |
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