迭代KALMAN信道估计算法在MIMO-OFDM系统的性能仿真研究  

Research in performance of iterative KALMAN channel estimation algorithm in MIMO-OFDM system

作　　者：李媚[1] 王向[1] 郭立炜[1] 

机构地区：[1]河北科技大学信息科学与工程学院,河北石家庄050018

出　　处：《河北科技大学学报》2010年第6期550-552,567,共4页Journal of Hebei University of Science and Technology

摘　　要：讨论了MIMO-OFDM通信系统中时变信道估计的KALMAN滤波算法。为了提高传统KALMAN信道估计算法的性能,提出了一种迭代KALMAN滤波算法,将整个子载波分为2部分:一部分用于发送导频,另一部分用于发送信号。在一个OFDM符号块中,对导频子载波和信号子载波处的无线信道进行循环估计,从而提高信道估计的精度。仿真结果表明,迭代KALMAN滤波算法的性能好于传统KALMAN滤波算法。This paper discussed the KALMAN filtering algorithm in MIMO-OFDM system.To improve the algorithm performance,it proposed an iterative KALMAN strategy.By dividing all of the subcarriers into two parts,i.e.,is pilot sub-carrier and signal sub-carrier,the channels on pilot sub-carrier and signal sub-carrier are estimated iteratively in one OFDM symbol block.Simulation result shows that the performance of the iterative algorithm is better than general KALMAN algorithm.

关 键 词：多输入多输出 正交频分复用 信道估计 卡尔曼滤波算法 

分 类 号：TN911[电子电信—通信与信息系统]