Systems Engineering and Electronics ›› 2019, Vol. 41 ›› Issue (6): 1402-1407.doi: 10.3969/j.issn.1001-506X.2019.06.30

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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

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

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