A Timing Estimation Method Based-on Skewness Analysis in Vehicular Wireless Networks.
A Timing Estimation Method Based-on Skewness Analysis in Vehicular Wireless Networks.
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车载无线网络中基于偏度分析的时序估计方法
DOI：
10.3390/s151128942
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发表时间：
2015-11-13
期刊：
影响因子：
--
通讯作者：
Liu JH
中科院分区：
文献类型：
--
作者：
Cui X;Li J;Wu C;Liu JH
车辆定位技术在车载无线网络中受到越来越多的关注，以减少运输时间和交通事故的发生。目前，全球卫星导航系统（GNSS）被广泛应用于陆地车辆定位，但大多数GNSS在信号受阻的情况下缺乏精度和可靠性。基于短距离无线通信的定位系统是车辆定位或车辆测距的另一种有效方式。IEEE 802.11p是一种新的车辆实时短距离无线通信标准，提出了一种基于IEEE 802.11p标准的车辆间时延或距离估计方法，该方法主要包括三个步骤：接收信号与短前导相互关联，分组汇总相关结果，利用基于偏度分析的动态阈值找到最大峰值。有了每辆车或路边基础设施之间的距离，就可以正确估计相邻车辆的位置。在国际电信联盟（ITU）车载多径信道中进行的仿真结果表明，该方法比一些已知的定时估计技术具有更好的精度，特别是在低信噪比（SNR）环境下。
Vehicle positioning technology has drawn more and more attention in vehicular wireless networks to reduce transportation time and traffic accidents. Nowadays, global navigation satellite systems (GNSS) are widely used in land vehicle positioning, but most of them are lack precision and reliability in situations where their signals are blocked. Positioning systems base-on short range wireless communication are another effective way that can be used in vehicle positioning or vehicle ranging. IEEE 802.11p is a new real-time short range wireless communication standard for vehicles, so a new method is proposed to estimate the time delay or ranges between vehicles based on the IEEE 802.11p standard which includes three main steps: cross-correlation between the received signal and the short preamble, summing up the correlated results in groups, and finding the maximum peak using a dynamic threshold based on the skewness analysis. With the range between each vehicle or road-side infrastructure, the position of neighboring vehicles can be estimated correctly. Simulation results were presented in the International Telecommunications Union (ITU) vehicular multipath channel, which show that the proposed method provides better precision than some well-known timing estimation techniques, especially in low signal to noise ratio (SNR) environments.