Frequency synchronization and channel equalization are of a great importance in any multicarrier communication system. Hence, in this paper, a joint carrier frequency offset (CFO) and channel estimation approach is proposed for multiuser filter bank multicarrier (FBMC) in the uplink of massive multiple input multiple output (MIMO) systems. Our proposed solution jointly estimates the CFO and channel responses based on the maximum likelihood (ML) criterion. The computational complexity of the estimator is high due to a large number of antennas at the base station (BS). To address this issue, a low-complexity CFO estimation technique is investigated after combining the received signals at the BS antennas. It is worth mentioning that our proposed method estimates both integer and fractional part of CFO values. Also, to characterize the accuracy of our estimation techniques, the asymptotic Cramér–Rao bounds (CRBs) are derived. Furthermore, the CFO correction and channel equalization techniques are performed for FBMC systems. Finally, we show the efficacy of our proposed algorithms through numerical results.

频率同步和信道均衡在任何多载波通信系统中都非常重要。因此，本文针对大规模多输入多输出（MIMO）系统上行链路中的多用户滤波器组多载波（FBMC），提出了一种联合载波频率偏移（CFO）和信道估计方法。我们提出的解决方案基于最大似然（ML）准则共同估算CFO和渠道响应。由于基站（BS）上的大量天线，估计器的计算复杂度很高。为了解决该问题，在BS天线处组合接收信号之后，研究了低复杂度CFO估计技术。值得一提的是，我们提出的方法可以估算CFO值的整数和小数部分。也，为了表征我们估算技术的准确性，导出了渐近Cramér-Rao边界（CRB）。此外，针对FBMC系统执行CFO校正和信道均衡技术。最后，我们通过数值结果证明了所提出算法的有效性。