重庆邮电大学学报（自然科学版）2019，Vol.31Issue(1)：50-56,7.DOI:10.3979/j.issn.1673-825X.2019.01.007
一种用于电力线通信系统的改进MIMO检测算法
An improved MIMO detection algorithm for power line communication system
摘要
Abstract
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.关键词
MIMO PLC系统/最大似然算法/Middleton class A类/信号检测Key words
MIMO PLC systems/ML algorithm/Middleton class A noise/signal detection分类
信息技术与安全科学引用本文复制引用
申敏,李想,林欢..一种用于电力线通信系统的改进MIMO检测算法[J].重庆邮电大学学报（自然科学版）,2019,31(1):50-56,7.基金项目
国家科技重大专项基金 (2016ZX03002010-003) （2016ZX03002010-003）
