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1. 兰州理工大学计算机与通信学院,甘肃 兰州 730050
2. 兰州理工大学理学院,甘肃 兰州 730050
3. 西南交通大学信息科学与技术学院,四川 成都 610031
[ "贾科军(1978- ),男,陕西兴平人,博士,兰州理工大学教授、硕士生导师,主要研究方向为多载波调制、可见光通信技术" ]
[ "杨博然(1996- ),男,吉林长春人,兰州理工大学硕士生,主要研究方向为可见光通信LED非线性抑制技术" ]
[ "曹明华(1979- ),男,甘肃平凉人,博士,兰州理工大学副教授、硕士生导师,主要研究方向为微波光子学与无线光通信技术" ]
[ "黎锁平(1965- ),男,甘肃合水人,博士,兰州理工大学教授、博士生导师,主要研究方向为随机系统的优化与控制、无线通信业务流与数据通信协议分析设计" ]
[ "郝莉(1971- ),女,四川成都人,博士,西南交通大学教授、博士生导师,主要研究方向为无线通信理论与关键技术" ]
网络出版日期:2020-09,
纸质出版日期:2020-09-25
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贾科军, 杨博然, 曹明华, 等. 可见光通信自适应O-OFDM符号分解串行传输系统设计与研究[J]. 通信学报, 2020,41(9):179-189.
Kejun JIA, Boran YANG, Minghua CAO, et al. Design and research of adaptive O-OFDM symbol decomposing with serial transmission system in visible light communication[J]. Journal on communications, 2020, 41(9): 179-189.
贾科军, 杨博然, 曹明华, 等. 可见光通信自适应O-OFDM符号分解串行传输系统设计与研究[J]. 通信学报, 2020,41(9):179-189. DOI: 10.11959/j.issn.1000-436x.2020179.
Kejun JIA, Boran YANG, Minghua CAO, et al. Design and research of adaptive O-OFDM symbol decomposing with serial transmission system in visible light communication[J]. Journal on communications, 2020, 41(9): 179-189. DOI: 10.11959/j.issn.1000-436x.2020179.
迭代信号限幅(ISC)和符号分解串行传输(SDST)技术将光正交频分复用(O-OFDM)符号分解为固定数量的多个小幅度符号,但当 O-OFDM 符号方差较小时,分解符号中有大量不载荷信息的全零符号,导致误码率变差、光功率损耗和信息速率降低。针对这一问题,提出了自适应 O-OFDM 符号分解串行传输(ASDST)系统,根据O-OFDM符号的幅度大小自适应决定符号分解,直到O-OFDM符号完全分解或达到最大符号分解次数,从而消除了全零符号,减少了平均符号分解次数。理论分析和蒙特卡罗仿真验证了ASDST系统的性能。
Iterative signal clipping (ISC) and symbol decomposing with serial transmission (SDST) techniques decompose optical orthogonal frequency division multiplexing (O-OFDM) symbol into the fixed number of multiple small-amplitude symbols.However
at low O-OFDM symbol variances
the decomposition symbols contain a large amount of all-zero symbols without load information
which results in bit error rate degradation
optical power penalty and information rate reduction.Aim at this problem
an adaptive O-OFDM symbol decomposing with serial transmission (ASDST) system was proposed
the symbol decomposition was adaptively determined according to the O-OFDM symbol amplitude.Symbol decomposition was terminated until O-OFDM symbol was completely decomposed or the maximum symbol decomposition times were attained
thereby eliminated all-zero symbols and reduced the average symbol decomposition times.The performance of ASDST system was verified by theoretical analysis and Monte Carlo simulation.
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