一种自适应O-OFDM符号分解串行传输系统接收机设计
A Receiver Design for Adaptive O-OFDM Symbol Decomposition Serial Transmission System
- 电子学报 2023年51卷第7期 页码：1741-1749
- 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：
[ "贾科军 男，1978年5月出生，陕西兴平人. 博士、教授、硕士生导师.主要研究方向为可见光通信、多载波调制（OFDM）、多输入多输出（MIMO）系统等.E-mail: kjjia@lut.edu.cn" ]
[ "秦翠翠（通讯作者） 女，1998年2月出生，甘肃合作人. 兰州理工大学计算机与通信学院硕士，现在兰州城市学院教务处工作.主要研究方向为可见光通信.E-mail: 18143752125@163.com" ]
- 基金信息：国家自然科学基金(61875080;61461026);甘肃省自然科学基金(22JR5RA276);兰州理工大学博士科研启动经费(061903)
DOI：10.12263/DZXB.20220248
中图分类号： TN929.12收稿：2022-03-10，
修回：2022-11-07，
纸质出版：2023-07-25
- 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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