A Doppler Shift Estimator for Millimeter-Wave Communication Systems on High-Speed Railways

Chong Zhang, Gongpu Wang, R. He, Yulong Zou
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引用次数: 5

Abstract

The millimeter-wave (mmWave) technology is one possible solution to addressing the explosive requirements for mobile data access on high-speed railways (HSRs). However, utilizing the mmWave technology on HSRs will result in large Doppler shift, which should be estimated and compensated. Traditional Doppler shift estimators including the cyclic prefix (CP) based estimator (CPBE), the two-training-symbol based estimator (TBE) and the best linear unbiased estimator (BLUE) have inferior estimation accuracy especially at low signal-to-noise ratio (SNR). In this paper, we propose the new Doppler shift estimator for mmWave communication systems on HSRs: an equally-divided structure based estimator (ESBE) that divides the effective orthogonal frequency-division multiplexing (OFDM) symbol into multiple equal fragments. Simulation results show that our new estimator outperforms several existing Doppler shift estimators in mmWave communication systems on HSR.
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高速铁路毫米波通信系统的多普勒频移估计
毫米波(mmWave)技术是解决高速铁路(HSRs)移动数据接入爆炸性需求的一种可能解决方案。然而,在高铁上使用毫米波技术会导致很大的多普勒频移,需要对其进行估计和补偿。传统的多普勒频移估计方法包括基于循环前缀(CP)的估计器(CPBE)、基于双训练符号的估计器(TBE)和最佳线性无偏估计器(BLUE)在低信噪比(SNR)下的估计精度较差。在本文中,我们提出了一种新的毫米波通信系统的多普勒频移估计器:一种基于等分结构的估计器(ESBE),它将有效的正交频分复用(OFDM)符号分割成多个相等的片段。仿真结果表明,该估计器在高铁毫米波通信系统中的性能优于现有的几种多普勒频移估计器。
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