A Timing Estimation Method Based-on Skewness Analysis in Vehicular Wireless Networks

Sensors

Xuerong Cui¹  Juan Li²  Chunlei Wu²  Jian-Hang Liu²  Yunchuan Sun²  Antonio Jara² 

[1] Department of Computer and Communication Engineering, China University of Petroleum (East China), Qingdao 266580, China;

关键词: vehicular wireless networks;    vehicle positioning;    timing estimation;    dynamic threshold;    positioning sensor;    IEEE 802.11p;    skewness analysis;   

DOI  :  10.3390/s151128942

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.