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Frequency Synchronization in Distributed Antenna Systems: Pairing-Based Multi-CFO Estimation, Theoretical Analysis, and Optimal Pairing Scheme

机译:分布式天线系统中的频率同步:基于配对的Multi-CFO估计,理论分析和最佳配对方案

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摘要

In this paper, we consider the frequency synchronization issue in orthogonal frequency division multiplexing distributed antenna systems. There may exist multiple carrier frequency offsets (CFOs) between the transmitter and distributed receive antennas. To solve the multi-CFO estimation problem, we first derive the blind maximum likelihood estimator, which has superior estimation performance, but exhibits high computational complexity. Furthermore, we develop a blind pairing-based efficient estimator (PBEE), which divides the multiple antennas into pairs of two. The two CFOs in each pair are jointly estimated with a carefully designed cost function, which proves to be exactly a cosine function parameterized by the two CFOs even with the effect of noise. Consequently, the joint estimation of the two CFOs can be simplified to the one-dimensional search optimization problem. The PBEE can achieve better CFO estimation performance than the existing competitors. From the theoretical mean square error (MSE) analysis of PBEE, we further derive the optimal antenna pairing scheme by minimizing the signal-to-noise ratio degradation caused by the uncompensated residual CFOs. Finally, the Cramer-Rao bound of CFO estimation is derived and numerical results are provided to corroborate the proposed studies.
机译:在本文中,我们考虑了正交频分复用分布式天线系统中的频率同步问题。在发射机和分布式接收天线之间可能存在多个载波频率偏移(CFO)。为了解决多CFO估计问题,我们首先推导了盲最大似然估计器,该估计器具有优越的估计性能,但计算复杂度高。此外,我们开发了一种基于盲配对的高效估计器(PBEE),它将多个天线分为两对。使用精心设计的成本函数共同估算每对中的两个CFO,即使在受到噪声影响的情况下,事实证明这也是两个CFO参数化的余弦函数。因此,可以将两个CFO的联合估计简化为一维搜索优化问题。与现有竞争对手相比,PBEE可以实现更好的CFO估算性能。从PBEE的理论均方误差(MSE)分析中,我们通过最小化由未补偿残留CFO引起的信噪比劣化,进一步推导了最佳天线配对方案。最后,推导了CFO估计的Cramer-Rao界,并提供了数值结果来证实所提出的研究。

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