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...
Main Authors: | , , , , , , , |
---|---|
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 |
_version_ | 1797863176976465920 |
---|---|
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. |
first_indexed | 2024-04-09T22:32:25Z |
format | Article |
id | doaj.art-135a51dcb408414da6bd9897f7bc2263 |
institution | Directory Open Access Journal |
issn | 1687-6180 |
language | English |
last_indexed | 2024-04-09T22:32:25Z |
publishDate | 2023-03-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Advances in Signal Processing |
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 |
work_keys_str_mv | AT yupengli researchonalleviatingnonlinearproblembydatafeatureextractionandfusionbasedondftspread AT leili researchonalleviatingnonlinearproblembydatafeatureextractionandfusionbasedondftspread AT yichaozhang researchonalleviatingnonlinearproblembydatafeatureextractionandfusionbasedondftspread AT mingzhuzhang researchonalleviatingnonlinearproblembydatafeatureextractionandfusionbasedondftspread AT duwu researchonalleviatingnonlinearproblembydatafeatureextractionandfusionbasedondftspread AT qianqianli researchonalleviatingnonlinearproblembydatafeatureextractionandfusionbasedondftspread AT xiaochengwang researchonalleviatingnonlinearproblembydatafeatureextractionandfusionbasedondftspread AT xiaomingding researchonalleviatingnonlinearproblembydatafeatureextractionandfusionbasedondftspread |