Joint Maximum Likelihood Estimation of Carrier and Sampling Frequency Offsets for OFDM Systems
Joint Maximum Likelihood Estimation of Carrier and Sampling Frequency Offsets for OFDM Systems
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DOI：
10.1109/tbc.2011.2122890
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发表时间：
2010-08
影响因子：
4.5
通讯作者：
Yong-Hwa Kim;Jong-Ho Lee
中科院分区：
文献类型：
--
作者：
Yong-Hwa Kim;Jong-Ho Lee
在正交频分复用（OFDM）系统中，载波频偏和采样频偏（CFO和SFO）会破坏子载波的正交性，降低系统性能。在本文中，我们提出了一个新的联合CFO和SFO最大似然（ML）估计方案扩展穆斯的CFO估计方案，使用两个长的训练符号在频域（FD）。特别是，我们推导出CFO和SFO估计的均方误差（MSE）的FD Crame 'r-Rao界（CRB）。仿真结果表明，所提出的ML方案具有更好的性能比其他现有的方法。
In orthogonal frequency-division multiplexing (OFDM) systems, carrier and sampling frequency offsets (CFO and SFO, respectively) can destroy the orthogonality of the subcarriers and degrade the system performance. In this paper, we propose a new joint CFO and SFO maximum-likelihood (ML) estimation scheme extending Moose's CFO estimation scheme using two long training symbols in the frequency-domain (FD). In particular, we derive FD Cramér-Rao bounds (CRBs) for the mean square errors (MSEs) of the CFO and SFO estimation. Simulation results show that the proposed ML scheme exhibits better performance than the other existing methods.