基于子空间的MIMO-OFDM系统信道盲估计研究  

Study on Subspace-based Blind Channel Estimation for MIMO-OFDM System

作　　者：灰兵义[1] 卓东风[1] 王岩[1] 张习民[1] 

机构地区：[1]太原科技大学,山西太原030024

出　　处：《通信技术》2010年第5期82-83,206,共3页Communications Technology

摘　　要：为了降低算法的复杂度,提高现有MIMO-OFDM系统信道估计算法的性能,首先给出了一种信道模型,并在此信道模型的基础上提出了一种改进型基于子空间方法的盲信道估计算法。该算法基于子空间分解技术,利用信号子空间和噪声子空间的正交性将两者分离,通过补零内插技术得到其他子载波位置的信道估计结果,在估计过程中并不需要任何信道统计信息。仿真结果表明:该算法具有收敛速度快,估计精度高等优点。To reduce the algorithm complexity,improve the channel estimation for MIMO-OFDM system,the paper first gives a signal channel model and provides a subspace-based blind channel estimation algorithm,which is based on decomposition of the subspace,and uses the orthogonality of the signal subspace and noise subspace to separate them.In addition,the estimation results of the other sub-carrier wave are achieved by zero-filling interpolation technology.In this process,no statistic information is required.Simulation results show that this algorithm is faster in convergence rate and better in estimation accuracy.

关 键 词：正交频分复用 多输入多输出 盲信道估计 

分 类 号：TN911[电子电信—通信与信息系统]