为了提高传统滤波器组多载波( FBMC)系统符号定时同步算法的精确度,提出了一种新的基于训练序列的符号定时估计算法.该算法考虑了噪声因素对定时性能的影响,通过对训练符号重复延迟特性的分析,运用最小二乘法实现了较高精度的同步定时估计.理论分析和仿真结果表明,该算法的性能优于现有算法.%In order to improve the accuracy of the traditional FBMC symbol timing synchronization algorithms, this paper proposed a new symbol timing estimation algorithm based on the training sequences. This algorithm considered the influence of the noise on the performance of the timing, by analysing the training symbol repeat delay characteristics, it used the least square method to realize a high precision synchronization time estimate. Theory analysis and simulation results show this algorithm has a better peformance.
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