文档介绍：基于低压电力线通信信道的自适应估计研究*
罗文亮1,2,柯熙政1,马鸣2
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)
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。
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
中图分类号:TM73 TN919 文献标识码:A 国家标准学科分类代码:
Study of adaptive estimation based on low-voltage power-line
communication channel
Luo Wenliang1,2 , Ke Xizheng1, Ma Ming2
(1 Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China;
2 Department of Electron Engineering, Baoji University Arts & Science, Baoji 721007, China)
Abstract:In order to solve low-voltage power line channel estimation problem, a decision–directed method is proposed for channel estimation and equalization in power munication (PLC) based on orthogonal frequency division multiplexing (OFDM). The proposed method uses a received subcarrier-symbol to represent petitive work, uses a nerve cell of the work 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 pensate the nonlinearity effect. This method does not require the prearrangement knowledge about the low-voltage power line. Simula