OFDM系统中联合卡尔曼滤波与导频符号的快变信道估计算法  

Joint Kalman Filter and Pilot symbol of channel Estimation Algorithms in OFDM Systems at very high speeds

作　　者：袁继耀 王彦[1] 喻雨薇 

机构地区：[1]南华大学电气工程学院,湖南衡阳421001

出　　处：《信息通信》2018年第1期28-30,共3页Information & Communications

基　　金：湖南省教育厅科学研究重点项目(16A181);南华大学研究生科研创新项目(2017XCX12)

摘　　要：在移动通信系统中,随着信道时延扩展及多径数目的不断增加,导致在快变信道的估计中,需要估计的基扩展系数大量增加。因此,需要插入更多的导频符号来估计基扩展系数,这将会严重降低频谱利用率。为有效降低导频符号的使用量,我们首先从频域方向插入离散的导频符号,然后利用一种基于卡尔曼滤波器的循环迭代算法,估计出各导频符号间的数据符号作为虚导频。该算法相比连续的梳状导频估计方法,能够有效地降低导频符号的使用量,大大提高频谱利用率。With the increase of the channel time delay spread and the multipath number in mobile communication system, which lead to a large number of BEM coefficients need to estimate in the time-variant channel estimation. so consequently more pilot symbols are needed, which will seriously reduce the spectrum utilization. In order to effectively decrease the insertion of pilot symbols, we inserted discrete pilot symbols in the frequency domain direction. Then a cyclic iterative algorithm based on the Kalman filter is used in this paper, the data symbols between the pilot symbols are estimated to be the virtual pilot. This algorithm can effectively reduce the use of the pilot symbols and greatly improve the spectrum utilization rate compared with the continuous comb-type estimation method.

关 键 词：正交频分复用(OFDM) 基扩展模型 卡尔曼滤波器 信道估计 

分 类 号：TN914[电子电信—通信与信息系统]