系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (6): 1402-1407.doi: 10.3969/j.issn.1001-506X.2019.06.30

• 通信与网络 • 上一篇    下一篇

基于相关性的FBMC OQAM信号的符号周期盲估计

张天骐, 王胜, 李群, 袁帅   

  1. 重庆邮电大学信号与信息处理重庆市重点实验室, 重庆 400065
  • 出版日期:2019-05-27 发布日期:2019-05-28

Symbol period blind estimation of FBMCOQAM signals based on correlation

ZHANG Tianqi, WANG Sheng, LI Qun, YUAN Shuai   

  1. Chongqing Key Laboratory of Signal and Information Processing, ChongqingUniversity of Posts and Telecommunications, Chongqing 400065, China
  • Online:2019-05-27 Published:2019-05-28

摘要: 针对滤波器组多载波(filter bank multicarrier, FBMC)信号的符号周期的盲估计问题,提出了自相关二阶矩和循环自相关算法。首先通过滤波器组多载波的交错正交幅度调制(FBMCoffset quadrature amplitude modulation, FBMCOQAM)信号的自相关二阶矩特性,估计出该信号的符号周期;然后根据FBMCOQAM信号的循环自相关在循环频率α=0切面具有离散谱线特征进行符号周期估计;最后对符号周期估计算法进行性能比较。仿真结果表明,在低信噪比下,两种算法均能有效实现FBMCOQAM信号的符号周期估计。

关键词: 滤波器组多载波信号, 自相关二阶矩, 循环自相关, 盲估计

Abstract: In order to solve the problem of estimating the symbol rate of filter bank multicarrier (FBMC), this paper proposes a secondorder moment of autocorrelation and cyclic autocorrelation algorithm. The symbol period of the signal is estimated by the autocorrelation secondorder moment characteristic of the FBMCoffset quadrature amplitude modulation (OQAM) signal.Then, according to the cyclic autocorrelation of the FBMCOQAM signal, the cycle frequency α=0 map has discrete spectral line features for the symbol period estimation. Finally, the performance of the symbol period estimation algorithm is compared. The simulation results show that under a low signaltonoise ratio, both algorithms can effectively realize the symbol period estimation of the FBMCOQAM signal.

Key words: filter bank multicarrier signal, secondorder moment of autocorrelation, cyclic autocorrelation, blind estimation