计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (18): 210-214.

• 信号处理 • 上一篇    下一篇

基于VC的MIMO-OFDM系统的子空间半盲信道估计

刘玉珍,闫兴玉   

  1. 辽宁工程技术大学 电子与信息工程学院,辽宁 葫芦岛 125105
  • 出版日期:2014-09-15 发布日期:2014-09-12

Semi-blind channel estimation for MIMO-OFDM systems with VC

LIU Yuzhen, YAN Xingyu   

  1. School of Electronics and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China
  • Online:2014-09-15 Published:2014-09-12

摘要: 传统的子空间盲信道估计收敛速度缓慢且需要大量接收信号才能保证估计性能良好,就此问题提出了一种新的基于虚拟载波(VC)的MIMO-OFDM系统的盲信道估计算法。该算法是传统子空间算法与块矩阵思想的结合,在每个OFDM符号中提取一组子矢量来降低维度。而后又在盲信道估计算法中加入导频序列形成新的半盲信道估计算法。通过计算机模拟仿真发现,新提出的盲信道和半盲信道估计算法在信道估计性能和收敛性方面均表现较好。

关键词: 多输入多输出系统, 正交频分复用, 信道估计, 虚拟载波, 子空间估计

Abstract: The convergence speed of traditional subspace-based blind channel estimation is slow and has a good estimating quality only by receiving a large number of signals. Therefore, this paper proposes a VC-based blind channel estimation method in MIMO-OFDM systems. The algorithm is the combination of traditional subspace algorithm and block matrix thought. It extracts a set of vectors to reduce the number of dimensions in OFDM signals and then adds pilot sequence to form a new semi-blind channel estimation method in blind channel estimation method.By computer modeling and simulation, it can be found that newly promoted blind channel estimation method and semi-blind channel estimation method work better in channel estimation and convergence.

Key words: Multiple-Input Multiple-Output(MIMO), Orthogonal Frequency Division Multiplexing(OFDM), channel estimation, virtual carrier, subspace channel estimation