摘要
正交频分复用(OFDM)技术以其多种优势成为低压电力线宽带通信的最佳选择,而信道估计是正交频分复用系统的关键问题之一。文章首先讨论了低压电力线的几种通信信道模型,对现有的OFDM通信信道估计算法进行了分析,最终选择了能够反映低压电力线统计变化规律的低压电力线统计自回归模型和LMS自适应信道估计算法,并进行了初步仿真研究。仿真结果表明,LMS信道估计方法能够很好地跟踪低压电力线信道的变化,具有良好的估计性能。
Orthogonal Frequency Division Multiplexing technique is the best choice for low-voltage power line broadband communication because of its many advantages. Channel estimation is one of the key problems in OFDM system. Establishing a reasonable channel model is the first step in channel estimation research. In this paper, several communication channel models of low-voltage power line are discussed firstly. Then OFDM communication channel estimation algorithms, which are used now, are analyzed. At last, the statistic AR model of low-voltage power line which is able to reflect the statistical time-varying rule and LMS adaptive chan- nel estimation algorithm are chosen. The simulation is made for OFDM low-power line communication system. The simulation results indicate that LMS algorithm is able to tracking the varying of low-power line and has good estimation performances.
出处
《电力系统通信》
2006年第6期69-73,共5页
Telecommunications for Electric Power System
关键词
OFDM
低压电力线
自适应
统计自回归模型
Orthogonal Frequency Division Multiplexing (OFDM)
low-voltage power line
adaptive
statistic AR model