Real-Time Positioning Based on Millimeter Wave Device to Device Communications

Real-Time Positioning Based on Millimeter Wave Device to Device Communications
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基于毫米波设备到设备通信的实时定位

DOI:
10.1109/access.2016.2604360
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发表时间:
2016
期刊:
影响因子:
3.9
通讯作者:
Li Juan
Li Juan
中科院分区:
计算机科学3区
文献类型:
--
作者:
Cui Xuerong;T. A. Gulliver;Song Houbing;Li Juan

文献摘要

被引文献

相似文献

当前一代的移动无线通信网络不适合实时定位应用,因为定时信息不容易获得。第五代(5G)蜂窝网络提供设备到设备的实时通信,可用于实时定位。毫米波传输被认为是5G网络的关键技术。本文研究了几种73 GHz毫米波波形。提出了一种新的能量探测器测距门限选择算法,采用基于人工神经网络的动态门限。研究了该算法在毫米波信号下的定位性能。
Current generation mobile wireless communication networks are not suitable for real-time positioning applications because timing information is not readily available. Fifth generation (5G) cellular networks provide device to device real-time communications which can be used for real-time positioning. Millimeter-wave (mmWave) transmission is regarded as a key technology in 5G networks. In this paper, several 73-GHz mmWave waveforms are investigated. A new threshold selection algorithm for energy detector-based ranging is proposed which employs a dynamic threshold based on an artificial neural network. The positioning performance using this algorithm with mmWave waveforms is investigated.