低压电力线信道的决策估计算法研究  

Study on Direct-Decision Estimation Based on OFDM Low-Voltage Power-Line Communication Channel

作　　者：张勤进[1] 刘彦呈[1] 赵友涛[1] 张巧芬[1] 

机构地区：[1]大连海事大学,辽宁大连116026

出　　处：《电力系统通信》2011年第3期5-9,共5页Telecommunications for Electric Power System

基　　金：辽宁省科技攻关项目(2007414023)

摘　　要：OFDM技术以其多种优势成为低压电力线载波通信的最佳选择,信道估计是OFDM系统的关键问题之一。分析了低压电力线信道特性,针对信道慢时变特性及噪声复杂的特点,提出一种适用于低压电力线通信信道的直接决策估计算法。该算法基于Kohonen神经网络,改进了神经元学习率的自适应方法,通过竞争机制实时跟踪信道变化,实现信道估计。仿真结果表明,该信道估计算法能有效地跟踪低压电力线信道特性,降低了系统的误比特率。Owning to its advantages,OFDM technology has become the best choice for low-voltage power line communication.Channel estimation is very important for OFDM system.This paper analyses channel properties of low-voltage power line channels.Aiming at the slow-variant and complex noise of channel,an estimation algorithm is put forward.Based on Kohonen neural network,this algorithm improves the adaptive method of neuron learning rate.Through competition,it can real-time track the channel change and realize the channel estimation.The simulation results show that the algorithm can track the low-voltage power line channel properties effectively and reduce the bit error rate.

关 键 词：低压电力线通信 OFDM 信道估计 神经网络 

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]