Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (16): 79-83.DOI: 10.3778/j.issn.1002-8331.1603-0281

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Block sliding window channel estimation algorithm based on LMMSE

HEI Shanshan1, WANG Xiaoqin2   

  1. 1.School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China
    2.National Integrated Circuit Design Research Center, Institute of Automation Chinese Academy of Science, Beijing 100081, China
  • Online:2017-08-15 Published:2017-08-31

基于LMMSE的分块滑窗信道估计算法

黑珊珊1,王晓琴2   

  1. 1.中国科学技术大学 信息科学技术学院,合肥 230026
    2.中科院自动化研究所 国家专用集成电路设计工程技术研究中心,北京 100081

Abstract: Channel estimation is the key technology of LTE. The traditional Linear Minimum Mean Square Error(LMMSE) channel estimation algorithm has a good performance, but it has a great complexity caused by matrix inverse operation. Correlation bandwidth is used as a criterion to divide the large auto-correlation into a number of submatrixs, reducing the computational complexity. Sliding window is used to improve the performance of submatrix. Complexity and simulation results show that low computational complexity is obtained at the slight cost of performance degradation.

Key words: LTE, block sliding window, channel estimation, Linear Minimum Mean Square Error(LMMSE)

摘要: 信道估计是LTE系统中的关键技术。传统频域LMMSE维纳滤波插值算法性能优异,但其计算复杂度太高而难以实现,针对该问题,提出了一种基于LMMSE的分块滑窗信道估计算法,通过对信道自相关矩阵实行分块确定维纳滤波抽头数,降低了计算复杂度,通过滑窗确定维纳滤波系数,确保了算法的性能。仿真结果和计算复杂度分析表明,提出的算法能达到计算复杂度和性能之间的良好折中。

关键词: LTE系统, 分块滑窗, 信道估计, 线性最小均方误差(LMMSE)