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基于渐消Kalman滤波的MIMO-OFDM信道估计
引用本文:周郭楠,李莉,王沛.基于渐消Kalman滤波的MIMO-OFDM信道估计[J].上海师范大学学报(自然科学版),2009,38(1).
作者姓名:周郭楠  李莉  王沛
作者单位:上海师范大学数理学院,上海,200234
基金项目:总参谋部第五研究所资助项目,数字社区与智能家居实验室学校配套项目 
摘    要:针对快时变信道明显的频率选择性,提出了采用Kalman渐消记忆滤波的估计方法.信道采用AR模型建模,并利用LS算法估计时变信道的衰减因子.仿真表明:快时变环境下,所提算法的估计性能优于LS信道估计和传统的Kalman滤波算法估计.

关 键 词:渐消Kalman  信道估计

Channel estimation method for MIMO-OFDM systems based on fading kalman filter
ZHOU Guo-nan,LI Li,WANG Pei.Channel estimation method for MIMO-OFDM systems based on fading kalman filter[J].Journal of Shanghai Normal University(Natural Sciences),2009,38(1).
Authors:ZHOU Guo-nan  LI Li  WANG Pei
Institution:College of Mathematics and Sciences;Shanghai Normal University;Shanghai 200234;China
Abstract:A channel estimation method of time-frequency-selective channels in MIMO-OFDM systems was proposed.This method is based on pilots and fading Kalman filter.The time-varying channel was modeled as an autoregressive(AR) process and the LS(least square) algorithm was adopted to track the time-varying channel fading factors.The simulation results show that this method has better performance comparing with LS algorithm and traditional Kalman estimator.
Keywords:MIMO-OFDM
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