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a.北京交通大学 光波技术研究所,北京 100044
b.北京交通大学 EMC全光网络与高级电信网络重点实验室,北京 100044
樊峰菊(1996-),女,山西临汾人。硕士,主要研究方向为光纤模分复用系统及大规模检测算法。
张建勇,副教授。E-mail:jyzhang@bjtu.edu.cn
纸质出版日期:2022-10-10,
收稿日期:2022-01-26,
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樊峰菊, 张建勇, 宋义梅, 等. 大规模检测算法在光通信系统中的研究[J]. 光通信研究, 2022,(5):12-17.
FAN Feng-ju, ZHANG Jian-yong, SONG Yi-mei, et al. The Research of Massive Multiple Input Multiple Output Detection Algorithms in Optical Fiber Communication System[J]. Study on Optical Communications, 2022,(5):12-17.
樊峰菊, 张建勇, 宋义梅, 等. 大规模检测算法在光通信系统中的研究[J]. 光通信研究, 2022,(5):12-17. DOI: 10.13756/j.gtxyj.2022.05.003.
FAN Feng-ju, ZHANG Jian-yong, SONG Yi-mei, et al. The Research of Massive Multiple Input Multiple Output Detection Algorithms in Optical Fiber Communication System[J]. Study on Optical Communications, 2022,(5):12-17. DOI: 10.13756/j.gtxyj.2022.05.003.
针对多输入多输出(MIMO)检测算法在大规模模式数目的模分复用(MDM)光纤信道中用来补偿模式相关损耗(MDL)时,会出现计算复杂度过高、性能下降的问题,文章提出将大规模MIMO检测算法应用于光纤信道中。文章研究的算法有最小均方误差(MMSE)、共轭梯度(CG)、高斯-塞德尔(GS)、基于无穷范数的乘子交替方向(ADMIN)法和基于盒约束的优化坐标下降(OCDBOX)法。结果表明,在MDL受损的光通信系统中,OCDBOX算法表现出最好的误码率(BER)性能,但复杂度较高。而ADMIN检测算法具有次好的BER性能和较低的计算复杂度,因此在MDL受损的MDM系统中,ADMIN检测算法可以作为良好的候选方案。
Multiple Input Multiple Output (MIMO) detection algorithm is used to compensate the Mode Dependent Loss (MDL) in Mode Division Multiplexing (MDM) optical fiber channel. The problem of MIMO detection algorithm is that the computational complexity is too high and the performance is degraded with a large number of modes. This paper proposes to apply Massive-MIMO detection algorithms to the fiber channel
The algorithms include Minimum Mean Square Error (MMSE)
Conjugate Gradient (CG)
Gauss Seidel (GS)
and Alternating Direction Method of multipliers based Infinity-Norm (ADMIN)
and Optimized Coordinate Descent based BOX constraint (OCDBOX) . The result shows that the OCDBOX has the best Bit Error Rate (BER) performance in MDL-impaired MDM optical fiber communication system while higher complexity. The ADMIN has the second best BER performance and lower computational complexity. Therefore
the ADMIN detection algorithm can represent a good candidate in the MDM system with MDL.
模分复用模式相关损耗大规模多输入多输出检测算法误码率性能
MDMMDLmassive MIMO detection algorithmsBER performance
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