基于低压电力线通信信道的自适应估计研究  

Study of adaptive estimation based on low-voltage power-line communication channel

作　　者：罗文亮[1,2] 柯熙政[1] 马鸣[2] 

机构地区：[1]西安理工大学自动化学院,西安710048 [2]宝鸡文理学院电气系,宝鸡721007

出　　处：《仪器仪表学报》2009年第8期1623-1629,共7页Chinese Journal of Scientific Instrument

基　　金：陕西省自然科学基金(2007F12)资助项目

摘　　要：为了解决低压电力信道的估计问题,提出了基于OFDM系统的低压电力线信道的自适应估计和均衡技术的直接决策估计方法,所提的方法通过接收到的子载波符号代表一个竞争的神经元网络,通过神经网络的神经元自适应估计信道的变化权值,然后根据信道的权值进行信道估计,最后利用消除星座对称补偿非线性的影响达到信道均衡。该方法不需要低压电力线信道的预备知识,通过仿真和实际测试的低压电力线系统说明该方法能达到较好的信道估计和均衡。In order to solve low-voltage power line channel estimation problem, a decision-directed method is proposed for channel estimation and equalization in power line communication （PLC） based on orthogonal frequency division multiplexing （OFDM）. The proposed method uses a received subcarrier-symbol to represent the competitive neural network, uses a nerve cell of the neural network to estimate adaptively the variation weight value, and then estimates the power-line channel according to the channel weight value. Finally the channel equalization is reached by removing the constellation symmetry to compensate the nonlinearity effect. This method does not require the prearrangement knowledge about the low-voltage power line. Simulations and actual test show that the proposed method achieves very good channel estimation and performance equalization in a realistic low-voltage power-line system.

关 键 词：低压电力线通信 直接决策估计 神经元网络 信道均衡 

分 类 号：TM73[电气工程—电力系统及自动化] TN919[电子电信—通信与信息系统]