Research on autocorrelation and cross-correlation analyses in vehicular nodes positioning
Research on autocorrelation and cross-correlation analyses in vehicular nodes positioning
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车辆节点定位中的自相关和互相关分析研究
DOI：
10.1177/1550147719843864
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发表时间：
2019-04
影响因子：
2.3
通讯作者：
Chen Haihua
中科院分区：
文献类型：
--
作者：
Cui Xuerong;Li Jingzhen;Li Juan;Liu Jianhang;Huang Tingpei;Chen Haihua
近年来，汽车保有量的大幅增加导致了交通事故的急剧增加，特别是多车连环碰撞的情况。然而，由于传统的超声波或激光测距方法难以获得非视距车辆的精确距离和位置，因此目前对碰撞预警系统的研究主要集中在单车碰撞预警上。如今，许多智能交通系统都是基于全球导航卫星系统，即使在理想环境下，其定位精度也超过10米。与此同时，全球导航卫星系统经常无法在非视线区域运行，例如森林，隧道或市中心。IEEE 802.11p是为满足高速和多路径车辆环境中的高精度要求而开发的用于车辆到车辆（V2V）通信的标准。在这篇文章中，我们提出了一种有效的到达时间或测距估计方法，使用IEEE 802.11p短前导码，以减轻多径和低信噪比的影响。首先，使用自相关和互相关（自交叉）来执行到达时间估计。在此基础上，提出了迭代更新的方法，以获得精确的时偏。在国际电信联盟车辆A信道和加性白色高斯噪声信道下的仿真结果表明，即使在低信噪比和多径环境下，该测距方法仍具有上级的测距精度。
In recent years, the massive increase in car ownership has led to a dramatic increase of traffic accidents, especially in the case of multi-vehicle chain collisions. However, most researches of collision warning systems are focused on the single vehicle collision warning, because it is hard to get the accurate distance and location of the non-line of sight vehicle with the traditional ultrasonic or laser ranging methods. Nowadays, many intelligent transportation systems are based on global navigation satellite systems with the positioning accuracy of more than 10 m even in ideal environments. At the same time, global navigation satellite system often fails to operate in non-line of sight areas, such as forests, tunnels, or downtown. IEEE 802.11p is developed for vehicle-to-vehicle (V2V) communication in order to meet the requirement for high accuracy in high speed and multipath vehicle environments. In this article, we proposed an efficient time of arrival or ranging estimation method using IEEE 802.11p short preamble in order to mitigate the effect of multipath and low signal noise ratio. First, the time of arrival estimation is performed using autocorrelation and cross-correlation (auto-cross). And then, the approach to iterative update is presented to find the accurate time offset. Simulation results, in the international telecommunication union vehicle A channel and an additive white Gaussian noise channel, indicate that the proposed ranging method achieves superior accuracy over the traditional methods even in low signal noise ratio conditions and multipath environments.
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DOI：
10.1109/wpnc.2016.7822853
发表时间：
2016-10
期刊：
2016 13th Workshop on Positioning, Navigation and Communications (WPNC)
影响因子：
--
作者：
Hiro Onishi;Kazuo Yoshida;Takeshi Kato
通讯作者：
Hiro Onishi;Kazuo Yoshida;Takeshi Kato
基于IEEE 802.11p短前导码的车辆节点相关和偏差测距方法
DOI：
10.1177/1550147716660904
发表时间：
2016-08
影响因子：
2.3
作者：
T. A. Gulliver;Zhang Hao;Li Juan;Wu Chunlei
通讯作者：
Wu Chunlei
DOI：
10.1109/ivs.2013.6629607
发表时间：
2013-06
期刊：
2013 IEEE Intelligent Vehicles Symposium (IV)
影响因子：
--
作者：
Jiang Liu;B. Cai;Jian Wang
通讯作者：
Jiang Liu;B. Cai;Jian Wang
影响因子：
6.8
作者：
Liu, Kai;Lim, Hock Beng;Lee, Victor C. S.
通讯作者：
Lee, Victor C. S.
DOI：
10.1109/glocom.2014.7417561
发表时间：
2014-12
期刊：
2015 IEEE Global Communications Conference (GLOBECOM)
影响因子：
--
作者：
Yan Huang;Min Chen;Zhipeng Cai;X. Guan;T. Ohtsuki;Yan Zhang
通讯作者：
Yan Huang;Min Chen;Zhipeng Cai;X. Guan;T. Ohtsuki;Yan Zhang