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1. 湖南大学电气与信息工程学院,湖南 长沙 410082
2. 湖南科技大学物电学院,湖南 湘潭 411201
[ "谭周文(1981-),男,湖南娄底人,湖南大学博士生,主要研究方向为电力线通信、数字信号处理等。" ]
[ "刘宏立(1963-),男,湖南常德人,湖南大学教授、博士生导师,主要研究方向为无线传感器网络、移动通信系统、电力载波通信、智能信息处理与传输技术等。" ]
[ "詹杰(1973-),男,湖南常德人,湖南科技大学教授,主要研究方向为无线传感网络定位、移动通信等。" ]
[ "马子骥(1978-),男,湖南长沙人,湖南大学讲师,主要研究方向为下一代智能通信网络、数字信号处理等。" ]
[ "刘述钢(1978-),男,湖南邵阳人,湖南科技大学讲师,主要研究方向为智能电网通信关键技术。" ]
网络出版日期:2017-12,
纸质出版日期:2017-12-25
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谭周文, 刘宏立, 詹杰, 等. 电力线通信中的基于峰值估计和反馈补偿的自适应噪声抑制[J]. 通信学报, 2017,38(12):86-97.
Zhou-wen TAN, Hong-li LIU, Jie ZHAN, et al. Adaptive noise mitigation based on peak estimate and feedback compensation in power line communication[J]. Journal on communications, 2017, 38(12): 86-97.
谭周文, 刘宏立, 詹杰, 等. 电力线通信中的基于峰值估计和反馈补偿的自适应噪声抑制[J]. 通信学报, 2017,38(12):86-97. DOI: 10.11959/j.issn.1000-436x.2017283.
Zhou-wen TAN, Hong-li LIU, Jie ZHAN, et al. Adaptive noise mitigation based on peak estimate and feedback compensation in power line communication[J]. Journal on communications, 2017, 38(12): 86-97. DOI: 10.11959/j.issn.1000-436x.2017283.
针对传统消隐限幅门限依赖于噪声特征参数及门限偏差较大的问题,提出一种基于峰值估计和反馈补偿的自适应电力线噪声抑制(ANMPEFC)算法。采用SLM映射预处理方法降低发射信号PAPR,提出利用峰值信息对接收信号进行脉冲频率估计的方法,建立了峰值频率与脉冲特征之间的关系,根据估计脉冲频率对接收信号自适应选择峰值消隐和反馈补偿方法进行处理,在门限偏差条件下对提出算法与现有算法性能进行了分析。结果表明,所提噪声抑制算法能应用于未知噪声特征的电力线脉冲噪声环境中,性能优于现有的脉冲噪声抑制算法。
According to the problem that the threshold for traditional blanking depends on the characteristic parameters of noise and exist large deviation,an adaptive noise mitigation algorithm based on peak estimate and feedback compensation(ANMPEFC)in power line communication was proposed.First,SLM mapping preprocessing method was employed to reduce the PAPR of emission signal,peak information was used to estimate the frequency of the received signal and the relationship between peak frequency and impulse characteristics was established.Next,received signal was processed by blanking block and feedback compensation block adaptively according to estimated pulse frequency.Finally, performance of proposed algorithm and existing algorithms were analyzed based on threshold deviation.According to the results from simulation,it is clearly demonstrated that the proposed ANMPEFC can work in power line impulse noise environment without knowing the noise characteristics and has better performance in contrast to existing impulse noise suppression algorithm.
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