Lower-complexity Wiener filtering for UE-RS channel estimation in LTE DL system

M. Zourob, R. Rao
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引用次数: 1

Abstract

Channel estimation algorithms play a key role in 3GPP Long Term Evolution (LTE) Downlink (DL) systems in facilitating coherent detection of data. In this paper, we report the performance of a new scheme for User Equipment-specific Reference Signals (UE-RS) channel estimation, which is 2 1- D Wiener filtering with linear interpolation as a less computationally complex scheme compared to 2-D Wiener filtering and interpolation. Simulations show that 2 1-D Wiener filtering with linear interpolation requires = 34% and = 2.6% of the number of computations needed by 2-D Wiener filtering with linear interpolation and Wiener interpolation, respectively. In addition, it was shown that 2 1-D Wiener filtering performance is sub-optimal when compared with the performance of 2-D Wiener filtering. Moreover, simulations indicate that the best noise reduction method is a combination of both averaging and Wiener filtering with linear interpolation, where the lower bound is a function of both SNR and the channel statistics.
低复杂度维纳滤波用于LTE DL系统中UE-RS信道估计
信道估计算法在3GPP长期演进(LTE)下行链路(DL)系统中起着促进数据相干检测的关键作用。在本文中,我们报告了一种用于用户设备特定参考信号(UE-RS)信道估计的新方案的性能,该方案是21维维纳滤波与线性插值,与二维维纳滤波和插值相比,它的计算复杂度更低。仿真结果表明,采用线性插值进行2维维纳滤波所需的计算量分别是采用线性插值和维纳插值进行2维维纳滤波所需计算量的34%和2.6%。此外,与二维维纳滤波的性能相比,21维维纳滤波的性能是次优的。此外,仿真表明,最好的降噪方法是将平均和维纳滤波与线性插值相结合,其中下界是信噪比和信道统计量的函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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