A Novel Hybrid CFO Estimation Scheme for UFMC-Based Systems
A Novel Hybrid CFO Estimation Scheme for UFMC-Based Systems
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基于 UFMC 系统的新型混合 CFO 估计方案
DOI：
10.1109/lcomm.2017.2669024
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发表时间：
2017-02
期刊：
影响因子：
--
通讯作者：
Kechu Yi
中科院分区：
文献类型：
--
作者：
Yunhua Li;Bin Tian;Kechu Yi
本文针对基于通用滤波多载波（UFMC）的系统，设计了一种基于训练符号的鲁棒混合载波频偏（CFO）估计方案。在该方案中，首先推导出基于最小二乘（LS）准则的CFO估计器，利用大的频率搜索步长获得粗略的频偏估计。然后，通过对补偿后的接收信号进行自相关运算，精确估计出剩余频偏。该算法具有估计范围大、估计精度高的特点。通过数值仿真，验证了该算法的性能优于现有算法。
In this letter, a robust hybrid carrier frequency offset (CFO) estimation scheme based on training symbols is devised for universal-filtered multi-carrier (UFMC) based systems. In this scheme, the CFO estimator based on a least square (LS) criterion is first derived to acquire a coarse frequency offset estimation with the use of a large frequency searching step. And then, the residual frequency offset is accurately estimated through the auto-correlation operation of received signals, which have been compensated. This algorithm has the features of larger estimation range as well as higher estimation precision. Through numerical simulations, it is validated that the performance of the proposed algorithm is better than that of existing algorithms.
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