MB-OFDM超宽带系统信道估计研究

Channel Estiamtion Algorithms for MB-OFDM System

MB-OFDM(多带正交频分复用)超宽带技术正越来越受到人们的关注,而信道估计是通信领域的一个研究热点,是进行相关检测,解调,均衡的基础。文章介绍了基于导频信道估计的基本方法,主要研究了LS(最小平方误差)估计、和MMSE(线性最小均方误差)估计,并提出应用神经网络进行信道估计。通过对几种方法的仿真分析给出了适用于MB-OFDM的信道估计方法。

MB-OFDM （Multi-band OFDM） UWB technology is attracting more and more attentions from the people these years. And channel estimation has become a focus communication area, it is the foundation for related survey, demodulation and bodaneing. This paper describes basic methods for channel estimation based on pilot, LS （least square）, improved LS and MMSE, and proposes the channel estimation by neural network. Based on simulation results of these algorithms, it gives the effective channel estimation method suitable for wireless MB-OFDM system.