Research on alleviating nonlinear problem by data feature extraction and fusion based on DFT-spread

Abstract Coherent optical orthogonal frequency division multiplexing (CO-OFDM) system is susceptible to nonlinear effects because of its intrinsic high peak-to-average ratio (PAPR). In this paper, two methods based on discrete Fourier transform spread (DFT-S) are introduced to improve the nonlinear...

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Main Authors: Yupeng Li, Lei Li, Yichao Zhang, Mingzhu Zhang, Du Wu, Qianqian Li, Xiaocheng Wang, Xiaoming Ding
Format: Article
Language:English
Published: SpringerOpen 2023-03-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:https://doi.org/10.1186/s13634-023-00993-5
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author Yupeng Li
Lei Li
Yichao Zhang
Mingzhu Zhang
Du Wu
Qianqian Li
Xiaocheng Wang
Xiaoming Ding
author_facet Yupeng Li
Lei Li
Yichao Zhang
Mingzhu Zhang
Du Wu
Qianqian Li
Xiaocheng Wang
Xiaoming Ding
author_sort Yupeng Li
collection DOAJ
description Abstract Coherent optical orthogonal frequency division multiplexing (CO-OFDM) system is susceptible to nonlinear effects because of its intrinsic high peak-to-average ratio (PAPR). In this paper, two methods based on discrete Fourier transform spread (DFT-S) are introduced to improve the nonlinear tolerance of CO-OFDM system by extracting and fusing data features, which extract the features of communication data and perform feature fusion to get the important significance of the data. The first one is based on the 2-ary amplitude shift keying (2-ASK) modulation and the Hermitian symmetry of DFT, and the other one is based on the advantages of selective mapping algorithm and characteristics of data subcarrier mapping mode which has a significant impact on PAPR. Simulation results show that compared with the traditional CO-OFDM and DFT-S CO-OFDM systems, the improved methods have better performance in terms of PAPR and BER.
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spelling doaj.art-135a51dcb408414da6bd9897f7bc22632023-03-22T12:40:33ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802023-03-012023111510.1186/s13634-023-00993-5Research on alleviating nonlinear problem by data feature extraction and fusion based on DFT-spreadYupeng Li0Lei Li1Yichao Zhang2Mingzhu Zhang3Du Wu4Qianqian Li5Xiaocheng Wang6Xiaoming Ding7Tianjin Key Laboratory of Wireless Mobile Communication and Power Transmission, Tianjin Normal UniversityTianjin Key Laboratory of Wireless Mobile Communication and Power Transmission, Tianjin Normal UniversityTianjin Key Laboratory of Wireless Mobile Communication and Power Transmission, Tianjin Normal UniversityTianjin Key Laboratory of Wireless Mobile Communication and Power Transmission, Tianjin Normal UniversityTianjin Key Laboratory of Wireless Mobile Communication and Power Transmission, Tianjin Normal UniversityTianjin Key Laboratory of Wireless Mobile Communication and Power Transmission, Tianjin Normal UniversityTianjin Key Laboratory of Wireless Mobile Communication and Power Transmission, Tianjin Normal UniversityTianjin Key Laboratory of Wireless Mobile Communication and Power Transmission, Tianjin Normal UniversityAbstract Coherent optical orthogonal frequency division multiplexing (CO-OFDM) system is susceptible to nonlinear effects because of its intrinsic high peak-to-average ratio (PAPR). In this paper, two methods based on discrete Fourier transform spread (DFT-S) are introduced to improve the nonlinear tolerance of CO-OFDM system by extracting and fusing data features, which extract the features of communication data and perform feature fusion to get the important significance of the data. The first one is based on the 2-ary amplitude shift keying (2-ASK) modulation and the Hermitian symmetry of DFT, and the other one is based on the advantages of selective mapping algorithm and characteristics of data subcarrier mapping mode which has a significant impact on PAPR. Simulation results show that compared with the traditional CO-OFDM and DFT-S CO-OFDM systems, the improved methods have better performance in terms of PAPR and BER.https://doi.org/10.1186/s13634-023-00993-5DFT-SCO-OFDMNonlinear tolerancePAPR
spellingShingle Yupeng Li
Lei Li
Yichao Zhang
Mingzhu Zhang
Du Wu
Qianqian Li
Xiaocheng Wang
Xiaoming Ding
Research on alleviating nonlinear problem by data feature extraction and fusion based on DFT-spread
EURASIP Journal on Advances in Signal Processing
DFT-S
CO-OFDM
Nonlinear tolerance
PAPR
title Research on alleviating nonlinear problem by data feature extraction and fusion based on DFT-spread
title_full Research on alleviating nonlinear problem by data feature extraction and fusion based on DFT-spread
title_fullStr Research on alleviating nonlinear problem by data feature extraction and fusion based on DFT-spread
title_full_unstemmed Research on alleviating nonlinear problem by data feature extraction and fusion based on DFT-spread
title_short Research on alleviating nonlinear problem by data feature extraction and fusion based on DFT-spread
title_sort research on alleviating nonlinear problem by data feature extraction and fusion based on dft spread
topic DFT-S
CO-OFDM
Nonlinear tolerance
PAPR
url https://doi.org/10.1186/s13634-023-00993-5
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