Low-complexity adaptive channel estimation over multipath Rayleigh fading non-stationary channels under CFO

Sayed A. Hadei, P. Azmi
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引用次数: 2

Abstract

In this paper, we propose novel low-complexity adaptive channel estimation techniques for mobile wireless channels in presence of Rayleigh fading, carrier frequency offsets (CFO) and random channel variations. We show that the selective partial update of the estimated channel tap-weight vector offers a better trade-off between the performance and computational complexity, compared to the full update of the estimated channel tap-weight vector. We evaluate the mean-square weight error of the proposed methods and demonstrate the usefulness of its via simulation studies.
CFO下多径瑞利衰落非平稳信道的低复杂度自适应信道估计
在本文中,我们提出了一种新的低复杂度自适应信道估计技术,用于存在瑞利衰落、载波频率偏移和随机信道变化的移动无线信道。我们表明,与估计的通道tap-weight向量的完全更新相比,估计的通道tap-weight向量的选择性部分更新在性能和计算复杂性之间提供了更好的权衡。我们评估了所提出方法的均方权重误差,并通过仿真研究证明了其有效性。
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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