一种用于电力线通信系统的改进MIMO检测算法

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英文篇名：An improved MIMO detection algorithm for power line communication system 作者：申敏 ; 李想 ; 林欢 英文作者：SHEN Min;LI Xiang;LIN Huan;School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications;Engineering Research Center of Molide Communications of Ministry of Education; 关键词：MIMO ; PLC系统 ; 最大似然算法 ; Middleton ; class ; A类 ; 信号检测 英文关键词：MIMO PLC systems;;ML algorithm;;Middleton class A noise;;signal detection 中文刊名：CASH 英文刊名：Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition) 机构：重庆邮电大学通信与信息工程学院;移动通信教育部工程研究中心; 出版日期：2019-02-15 出版单位：重庆邮电大学学报(自然科学版) 年：2019 期：v.31 基金：国家科技重大专项基金(2016ZX03002010-003)~~ 语种：中文; 页：CASH201901007 页数：7 CN：01 ISSN：50-1181/N 分类号：54-60

摘要

目前多输入多输出(multiple-input multiple-output,MIMO)技术已经被电力线通信(power line communication,PLC)系统采用,但由于MIMO PLC系统噪声呈非高斯分布而且各端口噪声之间存在相关性,故不能直接采用无线系统中的MIMO检测算法。采用了二元Middleton class A分布对MIMO PLC系统中噪声进行建模,提出了基于该噪声分布的最大似然检测改进算法,由于改进最大似然检测算法实现复杂度高,为了便于实现,进一步提出了用近似函数降低复杂度的2种次优的检测算法,优化了算法复杂度。仿真结果表明,与传统的基于高斯噪声分布的最大似然检测算法相比,提出的基于二元Middleton class A类噪声分布的信号检测算法在MIMO PLC系统能获得更好的性能。在性能损失较小的情况下,次优算法的复杂度明显低于最大似然检测改进算法。
        Currently,the multi-input multi-output( MIMO) technology has been adopted by power line communication system. However,due to the non-Gaussian distribution of MIMO PLC system noise and the correlation between the noise of each port,it can not directly use the MIMO detecting algorithm in wireless system. The binary Middleton class A distribution is employed to model the noise in MIMO PLC system,and then an optimal maximum likelihood detection algorithm for the noise distribution is proposed. Because of the high complexity of the improved ML detection algorithms,in order to facilitate the realization,two suboptimal detection algorithms to reduce complexity with approximate functions are proposed to optimize the algorithm complexity. The simulation results show that compared with the traditional ML detection algorithm based on the Gaussian noise,the signal detection algorithm based on binary Middleton class A noise distribution proposed in this paper can obtain better performance in MIMO PLC system. In the case of less performance loss,the complexity of the sub-optimal algorithm is obviously lower than that of the maximum likelihood detection algorithm.

引文

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