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A very efficient time and frequency synchronization method for OFDM systems operating in AWGN channels

机译:在AWGN信道中工作的OFDM系统的一种非常有效的时间和频率同步方法

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In this paper, we propose an efficient scheme using a new single-symbol preamble structure for OFDM data-aided synchronization. The preamble symbol is constituted of two successive equal-duration sub-symbols, the second one of which is a differentially encoded version of the first one, using an adequately designed precoding sequence. This structure leads to almost perfect channel autocorrelation profile with sharp in-phase peak and zero out-of-phase correlation. For comparison, we review some previous methods also based on data-aided synchronization for OFDM systems. We here explore the performance of the new method in the case of the AWGN channel. The performance is presented in terms of correct frame start detection rate and estimator's variance for time estimation. For fractional frequency offset estimation, the performance is evaluated in terms of mean squared error. The obtained results prove that the accuracy of the frame start detection and the fractional frequency offset estimation are greatly enhanced, even at very low SNRs. We show that compared to the best benchmark, gains of about 5 dB and 20 dB are achieved for timing precision of one sample and of one tenth of a sample, respectively. We also show that for a target correct detection rate of 95%, our approach provides more than 17 dB gain with respect to the best benchmark. Although we concentrate here on OFDM, the proposed approach can be applied to other systems such as TDMA or CDMA.
机译:在本文中,我们提出了一种使用新的单符号前同步码结构的有效方案,用于OFDM数据辅助同步。前导符号由两个连续的等时子符号组成,其中第二个是使用适当设计的预编码序列的第一个子符号的差分编码版本。这种结构导致几乎完美的通道自相关特性,具有尖锐的同相峰值和零异相相关。为了进行比较,我们回顾了一些先前的基于OFDM系统数据辅助同步的方法。我们在这里探讨了在AWGN频道情况下新方法的性能。以正确的帧开始检测率和估计器的方差来表示性能,以进行时间估计。对于分数频率偏移估计,将根据均方误差评估性能。所获得的结果证明,即使在非常低的SNR情况下,帧开始检测和分数频率偏移估计的精度也得到了大大提高。我们表明,与最佳基准相比,一个采样和十分之一采样的定时精度分别达到了约5 dB和20 dB的增益。我们还表明,对于95%的目标正确检测率,相对于最佳基准,我们的方法可提供超过17 dB的增益。尽管我们在此集中讨论OFDM,但建议的方法可以应用于其他系统,例如TDMA或CDMA。

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