光MIMO-OFDM预编码矩阵优化
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国家自然科学基金(61761014);认知无线电与信息处理教育部重点实验室2017年主任基金(CRKL170106);广西高校中青年教师基础能力提升项目(2018KY0208);广西研究生教育创新计划资助项目(YCBZ2017050);广西自然科学基金项目(2018GXNSFBA281131);广西重点研发计划项目(桂科AB18126030)


Optimization of optical MIMO-OFDM precoding matrix
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The National Natural Science Foundation of China (61761014); The 2017 Director’s Fund of the Key Laboratory of the Ministry of Education for Cognitive Radio and Information Processing (CRKL170106); The Basic Capacity Improvement Project for Young and Middle-aged Teachers of Guangxi Province (2018 KY0208), The Graduate Education Innovation Program of Guangxi Province (YCBZ2017050); The Natural Science Foundation of Guangxi Province (2018 GXNSFBA281131); The Key Research and Development Plan of Guangxi Province (Guike AB18126030)

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    摘要:

    由于水下非成像光多输入多输出正交频分复用(multiple input multiple output-orthogonal frequency division multiplexing,MIMO-OFDM)通信系统采用强度调制-直接检测的通信方式,缺失频率和相位分量,不同光源的光束在接收端相互叠加,因此其信道相关性强,误码率(bit error rate,BER)高。针对这一问题,提出一种基于非成像光MIMO-OFDM接收信号欧氏距离的预编码算法。假设发送端预知信道状态信息,在满足光信号非负性和总功率受限的约束下求解最优预编码矩阵,通过对不同光源分配不同的功率实现最大化接收信号的最小欧氏距离。系统发送端通过预编码矩阵对信号进行预编码,接收端通过最大似然方法对最大化欧氏距离的接收信号进行解码。仿真结果表明,与基于奇异值分解的光MIMO预编码算法相比,提出的算法在总功率不变的前提下,进一步降低了非成像光MIMO-OFDM系统误码率。

    Abstract:

    The underwater non-imaging optical Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) communication system adopts intensity modulation-direct detection method without the frequency and phase components. The beams of different light sources superimpose each other at the receiving end, so the channel correlation is strong and the bit error rate (BER) is high. In order to solve this problem, a precoding algorithm based on MIMO-OFDM received signal Euclidean distance is proposed.Assuming that the transmitter anticipates the channel state information,the optimal precoding matrix is solved under the constraints of non-negative optical signal and limited total power,and the minimum Euclidean distance of the received signal is maximized by allocating different power to different light sources. The transmitting end of the system precodes the signal through the precoding matrix, and the receiving end decodes the received signal which maximizes the Euclidean distance by the maximum likelihood method. The simulation results show that compared with the optical MIMO precoding algorithm based on singular value decomposition (SVD), the proposed algorithm can reduce the BER of the non-imaging optical MIMO-OFDM system under the premise of constant total power.

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苏浩明,李燕龙,符杰林,仇洪冰.光MIMO-OFDM预编码矩阵优化[J].重庆邮电大学学报(自然科学版),2020,32(6):954-960.

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  • 收稿日期:2019-01-24
  • 最后修改日期:2020-05-27
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  • 在线发布日期: 2020-12-23

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