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首页> 外文期刊>IEEE Transactions on Vehicular Technology >ML estimation of carrier frequency offset for multicarrier signalsin Rayleigh fading channels
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ML estimation of carrier frequency offset for multicarrier signalsin Rayleigh fading channels

机译:瑞利衰落信道中多载波信号的载波频率偏移的ML估计

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摘要

In this paper, we present a new maximum likelihood estimator (MLE)nof carrier frequency offset for multicarrier signals in anfrequency-selective Rayleigh fading channel. The proposed MLE is able tonachieve wider estimation range of frequency offset with higher accuracynthan previous blind approaches by exploiting the intrinsic structure ofnmulticarrier signals. Simulations show that the estimation accuracy isnclose to the Cramer-Rao bound. In order to reduce the complexity of thenproposed MLE, a suboptimum technique is presented that enables simplenimplementation. The bit error rate performance of the suboptimumntechnique with two or three symbols averaged is close to the theoreticalnbound. An important feature of both the MLE and the suboptimum method isnthe capability to correct the frequency offset in a feedforward approachnthat makes it possible to perform fast acquisition and tracking of thenfrequency offset
机译:在本文中,我们为频率选择瑞利衰落信道中的多载波信号提出了一种新的最大似然估计器(MLE)n。通过利用n个多载波信号的固有结构,所提出的MLE能够以比以前的盲法更高的精度来实现更宽的频率偏移估计范围。仿真表明,估计精度不接近Cramer-Rao界。为了降低随后提出的MLE的复杂性,提出了一种次优化技术,该技术可实现简单实现。具有两个或三个符号平均的次优化技术的误码率性能接近理论界。 MLE和次优方法的一个重要特征是能够以前馈方式校正频率偏移,从而可以对频率偏移进行快速采集和跟踪

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