基于分布式UFMC-MIMO系统的同步算法
Synchronization algorithm based on distributed UFMC-MIMO system
  
DOI:
中文关键词:  分布式多输入多输出;通用滤波多载波;CAZAC序列;时频同步
英文关键词:distributed multiple-input multiple-output(MIMO); universal filtered multi-carrier (UFMC); constant amplitude zero auto-correlation(CAZAC) sequence; time frequency synchronization
基金项目:国家自然科学基金(61701063)资助项目
作者单位
王 丹 重庆邮电大学 通信与信息工程学院,重庆 400065 
杨 恒 重庆邮电大学 通信与信息工程学院,重庆 400065 
邓 青 重庆邮电大学 通信与信息工程学院,重庆 400065 
石贝贝 重庆邮电大学 通信与信息工程学院,重庆 400065 
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中文摘要:
      在分布式多输入多输出(Multiple-Input Multiple-Output, MIMO)系统中,各发射天线与接收天线之间的信道相互独立,增加了信号同步处理的难度。5G候选波形中通用滤波多载波(UFMC)在与MIMO结合后,获取准确的时频同步相当重要。文中针对分布式UFMC-MIMO系统,利用恒包络零自相关(CAZAC)序列设计合适的训练结构完成系统时频同步。该训练序列包含重复结构和共轭结构两部分,除了能进行时偏估计外,还能完成小数倍频偏与整数倍频偏估计,提高了时频估计的准确度。文中选择2×2规模的分布式UFMC-MIMO系统进行仿真。由仿真结果可知,通过该同步算法能够准确获取时频估计,在时域进行补偿后能明显提高系统性能。
英文摘要:
      In distributed multiple-input multiple-output(MIMO) systems, the channels between transmit antennas and receive antennas are independent of each other, increasing the difficulty of the signal synchronization. In 5G candidate waveforms, it is very important to obtain accurate time-frequency synchronization by combining universal filtered multi-carrier (UFMC) with MIMO. This paper designs a suitable training structure for a distributed UFMC-MIMO system by using constant amplitude zero auto-correlation(CAZAC) sequence to complete the system time-frequency synchronization. The training sequence includes repetitive structure and conjugate structure. In addition to time-frequency estimation, it can also complete fractional frequency offset and integer multiple frequency offset estimation, improving the accuracy of the time-frequency estimation. In this paper, a 2×2 scale distributed UFMC-MIMO system is selected for simulation. From the simulation results, it can be concluded that the time-frequency estimation can be accurately obtained by the synchronization algorithm, and the system performance can be significantly improved after compensation in the time domain.
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