计算机工程与应用2012，Vol.48Issue(32)：117-120,228,5.DOI:10.3778/j.issn.1002-8331.1104-0579
一种子空间分解的MIMO-OFDM半盲信道估计方法
Subspace-based semi-blind channel estimation for MIMO-OFDM systems
摘要
Abstract
The channel estimation plays an important role in the MIMO-OFDM systems to achieve the high transmission performance. A new semi-blind channel estimation based on subspace for MIMO-OFDM systems is proposed. The channel matrix is decomposed by two parts. The first part is estimated by received data using the subspace method. By exploiting the frequency correlation among adjacent OFDM subcarriers, the method can reduce the computational complexity by 80 percent and performance is improved by 1~2 dB, compared with the classical method. The second part is a rotation matrix, which is estimated by employing pilot symbols. The proposed method is validated through computer simulation-based experimentations, and simulation results show the effectiveness of the algorithm.关键词
半盲信道估计/子空间分解/子载波分组/WR分解Key words
semi-blind channel estimation/ subspace decomposition/ subcarriers subset/ whitening-rotation分类
信息技术与安全科学引用本文复制引用
杨杰,高月幸,朱卫平,孟庆民..一种子空间分解的MIMO-OFDM半盲信道估计方法[J].计算机工程与应用,2012,48(32):117-120,228,5.基金项目
国家自然科学基金(No.60872104) （No.60872104）
江苏高校自然科学基金项目(No.08KJD510001) （No.08KJD510001）
教育部博士基金项目(No.20080293004). （No.20080293004）
