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Doppler-tolerant sequence design for positioning high-speed vehicles in millimeter-wave cellular systems

机译:用于定位毫米波蜂窝系统中高速车辆的多普勒耐受序列设计

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Future fifth-generation (5G) New Radio (NR) services consider positioning an integral part of a system that provides high precision using millimeter-wave (mmWave) cellular networks. While the 5G standard for positioning is not fully defined yet, the positioning reference signal (PRS) used in long-term evolution (LTE) system is being considered. Since the conventional LTE PRS is designed for LTE systems below 6 GHz, it is more sensitive and inefficient for high-speed vehicle (HSV) experiencing a high Doppler effect in mmWave cellular systems. In this paper, a new sequence, called an oscillatory pulse sequence (OPS), is proposed for the positioning of HSVs in mmWave cellular systems. The ambiguity function (AF) and cross-ambiguity function of OPS are analyzed to examine its autocorrelation and cross-correlation properties in the existence of Doppler shift. The performance of the proposed OPS is compared with the performance of LTE PRS, Zadoff-Chu, and linear-frequency modulated waveforms with respect to correlation, time ambiguity, and Doppler tolerance. The analytic and simulation results show that the OPS provides an accurate timing (distance) estimation in the existence of a high Doppler shift, which is the ideal characteristic of the AF for positioning. The OPS is especially suitable for orthogonal frequency division multiplexing (OFDM) systems because it can be easily multiplexed with other signals in the frequency domain. (C) 2021 The Author(s). Published by Elsevier Inc.
机译:未来第五代(5G)新的无线电(NR)服务考虑使用毫米波(MMWAVE)蜂窝网络提供高精度的系统的整体部分。虽然尚未完全定义5G用于定位的标准,但正在考虑长期演进(LTE)系统中使用的定位参考信号(PRS)。由于传统的LTE PRS专为LTE系统而设计,因此对于在MM波蜂窝系统中经历高多普勒效应的高速车辆(HSV)更敏感和低效。本文提出了一种新的序列,称为振荡脉冲序列(OPS),用于在MM波蜂窝系统中定位HSV。分析OPS的模糊函数(AF)和交叉模糊功能,以检查其存在多普勒频移的自相关和互相关性。将所提出的操作的性能与LTE PRS,Zadoff-Chu和线性频率调制波形相对于相关性,时间模糊性和多普勒公差进行比较。分析和仿真结果表明,OPS在存在高多普勒偏移的情况下提供精确的定时(距离)估计,这是用于定位的AF的理想特性。 OPS特别适用于正交频分复用(OFDM)系统,因为它可以容易地与频域中的其他信号复用。 (c)2021提交人。 elsevier公司发布

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