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LTE下行信道估计方法的优化
引用本文:吕良,郭宝龙,石磊. LTE下行信道估计方法的优化[J]. 计算机工程与应用, 2011, 47(26): 58-61. DOI: 10.3778/j.issn.1002-8331.2011.26.018
作者姓名:吕良  郭宝龙  石磊
作者单位:西安电子科技大学 ICIE研究所,西安 710071
基金项目:国家自然科学基金No.61003196; 中央高校基本科研业务费专项资金资助(No.K50510040004)~~
摘    要:信道估计技术是长期演进(LTE)核心技术之一。传统的LMMSE信道估计算法有着良好的系统性能,但其最显著的缺点就是自相关矩阵繁琐的求逆运算量大。针对这一问题,提出了基于相关带宽的两种不同的分块矩阵法。仿真结果表明,在不同的多普勒频移影响下,该算法与LS算法、SVD算法、理想LMMSE算法比较,误码率得到了较为理想的控制。

关 键 词:相关带宽  长期演进  信道估计  正交频分复用技术  线性最小均方误差  
修稿时间: 

Improved channel estimation algorithm based on LTE downlink channel
LV Liang,GUO Baolong,SHI Lei. Improved channel estimation algorithm based on LTE downlink channel[J]. Computer Engineering and Applications, 2011, 47(26): 58-61. DOI: 10.3778/j.issn.1002-8331.2011.26.018
Authors:LV Liang  GUO Baolong  SHI Lei
Affiliation:Institute of Intelligent Control and Image Engineering,Xidian University,Xi’an 710071,China
Abstract:Channel estimation is one of the core technologies of Long Term Evolution(LTE).The traditional Linear Minimum Mean Square Error(LMMSE) channel estimation algorithm has good performance of the system.But its greatest fault is the trival inverse matrix.In order to solve the problem,two different partitioned matrix methods based on correlation bandwidth are proposed.Compared to Least Square(LS),LMMSE and Singular Value Decomposition(SVD),simulation results show that the improved algorithm can maintain good Bit...
Keywords:correlation bandwidth  Long Term Evolution(LTE)  channel estimation  Orthogonal Frequency Division Multiplexing(OFDM)  Linear Minimum Mean Square Erro(rLMMSE)  
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