基于K近邻法的多核光纤信道均衡算法

Yahui Yu, Feng Tian
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引用次数: 0

摘要

针对多芯光纤(multi-core fiber, MCF)中的信道损坏问题,提出了自适应k近邻(AKNN)算法。利用MATLAB软件对七芯光纤的信道进行仿真,考虑了芯间串扰(crosstalk, XT)和非线性效应。然后采用KNN算法在接收端均衡受损信号。仿真结果表明,与传统KNN算法相比,随着传输距离的扩大,AKNN算法具有更好的误码率性能和更低的OSNR要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-core fiber channel equalization algorithm based on K nearest neighbor method
Aiming at the channel damage problems of multi-core fiber (Multi-core Fiber, MCF), the AKNN (Adapted K-Nearest Neighbor) algorithm is proposed. The MATLAB software was used to simulate the channel of the seven-core fiber, both the inter-core crosstalk (Crosstalk, XT) and nonlinear effects were considered. Then the KNN algorithm was adapted to equalize the damaged signal at the receiver. The simulation results show that the AKNN algorithm possesses better BER performance and lower OSNR requirements with the extension of transmission distance, compared to traditional KNN algorithm.
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