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迭代KALMAN信道估计算法在MIMO-OFDM系统的性能仿真研究
引用本文:李 媚,王 向,郭立炜.迭代KALMAN信道估计算法在MIMO-OFDM系统的性能仿真研究[J].河北科技大学学报,2010,31(6):550-552,567.
作者姓名:李 媚  王 向  郭立炜
作者单位:河北科技大学信息科学与工程学院,河北石家庄050018
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。

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
收稿时间:2010/4/24 0:00:00
修稿时间:2010/6/28 0:00:00

Research in performance of iterative KALMAN channel estimation algorithm in MIMO-OFDM system
LI Mei,WANG Xiang and GUO Li-wei.Research in performance of iterative KALMAN channel estimation algorithm in MIMO-OFDM system[J].Journal of Hebei University of Science and Technology,2010,31(6):550-552,567.
Authors:LI Mei  WANG Xiang and GUO Li-wei
Institution:(College of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang Hebei 050018,China)
Abstract: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.
Keywords:multiple-input multiple-output  orthogonal frequency division multiplexing  channel estimation  KALMAN filtering algorithm
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