中国激光, 2016, 43 (10): 1006001, 网络出版: 2016-10-12  

基于多通道盲最小均方算法的模式解复用

Mode Demultiplexing Based on Multichannel Blind Least Mean Square Algorithm
作者单位
吉林大学通信工程学院, 吉林 长春 130012
摘要
运用多通道盲最小均方(MBLMS)算法对2×2模分复用(MDM)系统进行解复用,阐述了基于非高斯性最大化的MBLMS算法原理,分析了此算法的解复用性能,并与基于数据辅助的最小均方(LMS)算法进行了比较。仿真结果表明:MBLMS算法在无需数据辅助的条件下能够实现卷积混合信号的盲分离,其解复用性能与基于数据辅助的LMS算法相当,且收敛速度比基于数据辅助的LMS算法提高了33.3%。
Abstract
The multichannel blind least mean square (MBLMS) algorithm is proposed to implement mode demultiplexing for a 2×2 mode division multiplexing (MDM) system. The principle of MBLMS algorithm based on the non-Gaussian maximization is described. The demultiplexing performance of this algorithm is analyzed, and this algorithm is compared with the least mean square (LMS) algorithm based on data assistance. The simulation results show that the MBLMS algorithm can realize blind separation of the convolved mixed signals without data assistance. Its demultiplexing performance is comparable with that of the LMS algorithm, and its convergence rate is improved by 33.3% compared with that of LMS algorithm based on data assistance.

关丽杨, 胡贵军. 基于多通道盲最小均方算法的模式解复用[J]. 中国激光, 2016, 43(10): 1006001. Guan Liyang, Hu Guijun. Mode Demultiplexing Based on Multichannel Blind Least Mean Square Algorithm[J]. Chinese Journal of Lasers, 2016, 43(10): 1006001.

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