A Receiver Design for Adaptive O-OFDM Symbol Decomposition Serial Transmission System

JIA Ke-jun; QIN Cui-cui; LIN Ying; PENG Duo; CAO Ming-hua; LI Suo-ping

doi:10.12263/DZXB.20220248

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A Receiver Design for Adaptive O-OFDM Symbol Decomposition Serial Transmission System

PAPERS | 更新时间：2025-12-08

- A Receiver Design for Adaptive O-OFDM Symbol Decomposition Serial Transmission System
- ACTA ELECTRONICA SINICA Vol. 51, Issue 7, Pages: 1741-1749(2023)
- 作者机构：
  
  1.兰州理工大学计算机与通信学院,甘肃兰州 730050
  2.兰州城市学院教务处,甘肃兰州 730070
  3.兰州理工大学理学院,甘肃兰州 730050
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(61875080;61461026);Natural Science Foundation of Gansu Province of China(22JR5RA276);PhD Research Funding of Lanzhou University of Technology(061903)
- DOI：10.12263/DZXB.20220248
  CLC： TN929.12
- Received：10 March 2022，
  
  Revised：2022-11-07，
  
  Published：25 July 2023
- 稿件说明：
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贾科军,秦翠翠,蔺莹等.一种自适应O-OFDM符号分解串行传输系统接收机设计[J].电子学报,2023,51(07):1741-1749.

JIA Ke-jun,QIN Cui-cui,LIN Ying,et al.A Receiver Design for Adaptive O-OFDM Symbol Decomposition Serial Transmission System[J].ACTA ELECTRONICA SINICA,2023,51(07):1741-1749.
贾科军,秦翠翠,蔺莹等.一种自适应O-OFDM符号分解串行传输系统接收机设计[J].电子学报,2023,51(07):1741-1749. DOI： 10.12263/DZXB.20220248.

JIA Ke-jun,QIN Cui-cui,LIN Ying,et al.A Receiver Design for Adaptive O-OFDM Symbol Decomposition Serial Transmission System[J].ACTA ELECTRONICA SINICA,2023,51(07):1741-1749. DOI： 10.12263/DZXB.20220248.

摘要

自适应光正交频分复用符号分解串行传输（Adaptive Optical Orthogonal Frequency Division Multiplexing Symbol Decomposition with Serial Transmission，O-OFDM-ASDST）可以抑制O-OFDM 系统非线性失真，但在接收端将分解符号合并时会增大加性高斯白噪声（Additive White Gaussian Noise，AWGN），因此设计一种能够抑制AWGN的新型接收机.分析了O-OFDM分解符号的结构特征和可观测到的AWGN的最大偏移分量，基于此对接收分解符号进行预处理，尽可能恢复出原本等于限幅门限和零值的时域抽样值，再根据O-OFDM分解符号特征，重构接收分解符号.最后采用蒙特卡洛（Monte Carlo）误码率仿真方法，验证了接收机的有效性.

Abstract

Adaptive optical orthogonal frequency division multiplexing symbol decomposition with serial transmission (O-OFDM-ASDST) can mitigate the nonlinear distortion of O-OFDM systems. However

it increases additive white Gaussian noise (AWGN) when the decomposed symbols are combined at the receiver

and so a receiver that can mitigate AWGN noise is designed. The structural characteristics of the O-OFDM decomposition symbols and the maximum offset component of the observable AWGN noise are analyzed. Further

the received decomposition symbols are preprocessed to recover the time domain sampling values that are originally equal to the clip threshold and zero value as much as possible

and then the received decomposition symbols are reconstructed according to the O-OFDM decomposition symbol characteristics. Finally

the Monte Carlo bit error rate simulation method is used to verify the effectiveness of the receiver.

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references

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