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基于过采样和循环平稳的混合OFDM信号子载波数盲估计算法 被引量:2

Blind estimation algorithm for subcarrier number of mixed OFDM signal based on oversampling and cyclostationary
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摘要 针对混合OFDM信号子载波数估计问题,基于OFDM信号的循环平稳特性,提出一种基于过采样和循环平稳的混合OFDM信号的子载波数估计算法。根据混合信号的循环自相关序列估计出混合OFDM信号的过采样率q,利用过采样后的自相关估计出混合OFDM信号的有效符号长度,得到混合OFDM信号的子载波数估计值。仿真结果表明,该算法可以估计出混合信号的子载波数,证明了算法的有效性,同时验证了算法的采样倍数、子载波个数的变化不会影响子载波数估计,此外,在低信噪比下,该算法在衰落信道中具有良好的估计性能。 To resolve the problem that the sub-carriers number estimate in mixed OFDM signals, according to the cyclic stationary characteristics of OFDM signals, a subcarrier number estimation algorithm based on oversampling and cyclic stationary mixed OFDM signals is proposed. The method first estimates the oversampling rate q of the mixed OFDM signal according to the Cyclic autocorrelation sequence of mixed signals. Then, using the oversampling autocorrelation to estimate the effective symbol length of the mixed OFDM signal, and finally, the estimated number of subcarriers of the mixed OFDM signal is obtained. The results of simulation and analysis show that the number of subcarriers of the mixed-signal can be estimated, and the effectiveness is proved. At the same time, it is verified that the variation of the sampling multiple and the number of subcarriers in the proposed algorithm does not affect the estimation of the number of subcarriers. Besides, under low SNR, the algorithm has good estimation performance in the fading channel.
作者 吴娟 谢跃雷 欧阳缮 WU Juan;XIE Yuelei;OUYANG Shan(Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing,Guilin University of Electronic Technology,Guilin 541004,China;National&Local Joint Engineering Research Center of Satellite Navigation Positioning and Location Service,Guilin University of Electronic Technology,Guilin 541004,China)
出处 《桂林电子科技大学学报》 2020年第2期87-94,共8页 Journal of Guilin University of Electronic Technology
基金 国家自然科学基金(61461015) 广西科技重大专项(AA17202022) 桂林电子科技大学研究生优秀学位论文培育项目(17YJPYSS10)。
关键词 混合OFDM信号 循环平稳特性 过采样 子载波数估计 mixed OFDM signal the characteristic of cyclostationary oversampling sub-carrier estimation
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