基于噪声子空间跟踪的OFDM盲信道估计  

OFDM blind channel estimation based on noise subspace tracking

作　　者：陈洪[1] 李子[2] 张尔扬[1] 

机构地区：[1]国防科技大学电子科学与工程学院,长沙410073 [2]解放军理工大学通信工程学院,南京210007

出　　处：《信号处理》2007年第6期873-876,共4页Journal of Signal Processing

摘　　要：基于子空间分解的OFDM信道估计算法利用信号子空间和噪声子空间的正交性可以对信道参数进行盲估计,但是子空间分解的运算量大,使盲信道估计算法的实用化受到限制。本文在噪声子空间自适应跟踪的基础上进行OFDM盲信道估计,显著降低了运算量。仿真结果表明,在适当选择学习因子后可以实现对噪声子空间的快速跟踪,在噪声子空间跟踪的基础上得到的信道估计性能接近于子空间分解法。Utilizing the orthogonal property between signal subspace and noise subspace, the channel in OFDM systems can be blindly estimated based on subspace decomposition. However, the application of blind channel estimation was restricted because of the computational burden of subspace decomposition. The noise subspace tracking algorithm was used in this paper to track the noise subspace adaptively. Simulation shows that the blind channel estimation based on noise subspace tracking has the approaching performance compared with the algorithm based on SVD but with low complexity .

关 键 词：正交频分复用 噪声子空间 盲信道估计 

分 类 号：TN911.23[电子电信—通信与信息系统] TN914.53[电子电信—信息与通信工程]