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

被引：0
|
作者：
Zhang T. [1 ]
Wang S. [1 ]
Li Q. [1 ]
Yuan S. [1 ]
机构：
[1] Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2019年 / 41卷 / 06期
关键词：
Blind estimation; Cyclic autocorrelation; Filter bank multicarrier signal; Second-order moment of autocorrelation;
D O I：
10.3969/j.issn.1001-506X.2019.06.30
中图分类号：
学科分类号：
摘要：
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. © 2019, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：1402 / 1407
页数：5
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