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An improved parametric estimator of Doppler shift in mobile communications

机译:移动通信中多普勒频移的一种改进的参数估计器

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This paper investigates biases of a parametric estimator of Doppler shift in mobile communications, and the result indicates that the conventional iterative autocorrelation function (ACF) estimator yields a significant estimation error at high mobile speeds. Therefore, a simple linear fitting is proposed to refine the Doppler shift estimation, in which only one fitting expression is required for different signal-to-noise ratios (SNR), i.e., the refining process is insensitive to the actual SNR. The reason is that that different SNRs lead to nearly the same estimates at the high speed scenario. Sufficient computer simulations show that our proposed algorithm achieves accurate estimates for both the SNR and Doppler shift.
机译:本文研究了移动通信中多普勒频移参数估计器的偏差,结果表明,传统的迭代自相关函数(ACF)估计器在高移动速度下会产生明显的估计误差。因此,提出了一种简单的线性拟合来细化多普勒频移估计,其中对于不同的信噪比(SNR)仅需要一个拟合表达式,即,细化过程对实际SNR不敏感。原因是在高速情况下,不同的SNR导致几乎相同的估计。足够的计算机仿真表明,我们提出的算法可以实现SNR和多普勒频移的准确估计。

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