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Speed estimation techniques in cellular systems: unified performance analysis

机译:蜂窝系统中的速度估计技术:统一性能分析

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Estimation of the mobile speed, or equivalently, the maximum Doppler frequency, is of importance in a variety of applications in wireless mobile communications. In this paper, a unified framework for the performance analysis of several major speed estimation techniques is presented, which allows a fair comparison between all the methods, analytically. Interestingly, it is proved that all these methods are equivalent, asymptotically, i.e., for large observation intervals. In addition, we have derived closed-from expressions for the bias and variance of a recently proposed covariance-based method. We have also introduced a new estimator which relies on the average number of maxima of the inphase component, and have calculated its variance, analytically. Our extensive performance analysis, supported by Monte Carlo simulations, have revealed that depending on the channel conditions, one needs to use a crossing- or a covariance-based technique, to achieve the desired estimation accuracy over a large range of mobile speeds.
机译:在无线移动通信的各种应用中,估计移动速度或等效地最大多普勒频率很重要。在本文中,提出了一个统一的框架,用于几种主要速度估计技术的性能分析,从而可以在分析上公平地比较所有方法。有趣的是,事实证明,所有这些方法在渐近性上(即,对于较大的观察间隔)都是等效的。另外,我们已经为最近提出的基于协方差的方法的偏差和方差导出了封闭表达式。我们还引入了一种新的估算器,该估算器依赖于同相分量的最大值的平均数,并已通过分析计算出了其方差。在蒙特卡洛模拟的支持下,我们进行了广泛的性能分析,结果表明,根据信道状况,需要使用基于交叉或协方差的技术来在较大的移动速度范围内实现所需的估计精度。

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