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OFDM系统信道盲估计的子空间算法
引用本文:黄学军,毕厚杰,余松煜.OFDM系统信道盲估计的子空间算法[J].上海交通大学学报,2004,38(Z1):6-9.
作者姓名:黄学军  毕厚杰  余松煜
作者单位:上海交通大学,图像通信与信息处理研究所,上海,200030
摘    要:利用循环前缀(CP)引入的信息冗余,提出一种利用接收信号的二阶统计特性实现正交频分复用(OFDM)系统信道盲估计的子空间算法.由于OFDM传输方程不能直接推导子空间算法,故首先给出一种新的方法对OFDM传输方程作矩阵变换,从而得到一个结构简单的新方程,基于此推导出信道估计子空间算法.该算法不需要改变OFDM系统结构,不受信道零点位置的限制,在信道过估计的情况下也适用.

关 键 词:正交频分复用  盲辨识  子空间算法
文章编号:1006-2467(2004)S1-0006-04
修稿时间:2003年10月23

Subspace-Based Blind Channel Estimation for Orthogonal Frequency Division Multiplexing (OFDM) Systems
HUANG Xue-jun,BI Hou-jie,YU Song-yu.Subspace-Based Blind Channel Estimation for Orthogonal Frequency Division Multiplexing (OFDM) Systems[J].Journal of Shanghai Jiaotong University,2004,38(Z1):6-9.
Authors:HUANG Xue-jun  BI Hou-jie  YU Song-yu
Abstract:Exploiting the redundancy introduced by the cyclic prefix (CP), a subspace-based algorithm for blind channel estimation using second-order statistics was proposed in OFDM systems. Because the transmission equation of OFDM systems does not exactly have the desired structure to directly derive a subspace algorithm, a new matrix transform on the equation is proposed, then a blind subspace-based algorithm is developed. The algorithm does not change the existing OFDM systems and is not sensitive to the channel zero locations. It is robust to channel order overdetermination.
Keywords:orthogonal frequency division multiplexing (OFDM)  blind identification  subspace algorithm
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