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Data-aided symbol timing and CFO synchronization for filter bank multicarrier systems

机译:滤波器组多载波系统的数据辅助符号定时和CFO同步

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摘要

In this paper we consider the problem of data-aided joint symbol timing and carrier-frequency offset (CFO) estimation for filter bank-based multicarrier (FBMC) systems. As all multicarrier systems, FBMC systems are very sensitive to synchronization errors, since CFO and symbol timing errors cause interference between successive symbols and adjacent subcarriers which can lead to a severe performance degradation. Therefore, reliable and accurate synchronization algorithms must be designed for these systems. The approach herein presented is based on the deployment of appropriate training sequences. In particular, we propose a new joint symbol timing and CFO synchronization algorithm based on the least squares approach and exploiting the transmission of a training sequence made up of identical parts. The performance of the derived estimators, assessed by computer simulations, is compared with that of two data-aided synchronization algorithms previously proposed in the literature.
机译:在本文中,我们考虑了基于滤波器组的多载波(FBMC)系统的数据辅助联合符号定时和载波频率偏移(CFO)估计问题。与所有多载波系统一样,FBMC系统对同步错误非常敏感,因为CFO和符号定时错误会导致连续符号和相邻子载波之间的干扰,从而导致严重的性能下降。因此,必须为这些系统设计可靠而准确的同步算法。本文提出的方法是基于适当训练序列的部署。特别是,我们提出了一种基于最小二乘法的新联合符号定时和CFO同步算法,并利用了由相同部分组成的训练序列的传输。通过计算机仿真评估得出的估算器的性能,与文献中先前提出的两种数据辅助同步算法的性能进行比较。

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