适用于宽带电力线通信的OFDM信噪比估计方法  

SNR estimation in OFDM for broadband power line communication

作　　者：梁栋[1] 张保会[1] 牛东文[1] 付科源[1] 郝治国[1] 

机构地区：[1]西安交通大学电力设备电气绝缘国家重点实验室,陕西西安710049

出　　处：《电力自动化设备》2013年第12期105-110,共6页Electric Power Automation Equipment

基　　金：国家重点基础研究发展计划(973计划)项目(2009-CB219700)~~

摘　　要：首先介绍了基于电力线通信的正交频分复用模型,并进行了电力线信道和噪声建模。采用了具有重复结构的同步训练序列,使得频域上2个装载了数据的相邻子载波间有3个虚拟子载波,再利用虚拟子载波进行数据辅助估计;采用正交频分复用系统频域首尾两端的保护虚拟子载波进行信噪比盲估计。仿真结果表明:进行数据辅助估计时,如果实际信噪比较高,所提算法的精度和Boumard算法相近,否则所提算法的精度高于最小均方误差(MMSE)算法和Boumard算法;进行信噪比盲估计时,多数情况下,所提算法的精度高于二阶四阶矩(M2M4)算法。： The model of OFDM （ Orthogonal Frequency Division Multiplexing） system based on power line communication is introduced and the channel and noises of power line communication are modeled. Since the synchronization training sequence with repeated structure is applied,there are three virtual sub-carriers between every two data-loaded adjacent sub-carriers in frequency-domain,which can be used in data-aided estimation. The guard virtual sub-carriers at both ends of OFDM system in frequency-domain are used in blind SNR （Signal to Noise Ratio） estimation. Simulative results show that,in data-aided estimation,the precision of the proposed algorithm is similar to that of Boumard algorithm if the actual SNR is relatively high,otherwise it is higher than that of MMSE algorithm or Boumard algorithm;in blind SNR estimation,it is higher than that of M2M4 algorithm in most conditions.

关 键 词：电力线 通信 信噪比 正交频分复用 估计 建模 

分 类 号：TM92[电气工程—电力电子与电力传动]