基于天线阵列的车载网络定位方案

M. A. M. Marinho, A. Vinel, F. Antreich, J. Costa, E. P. Freitas
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引用次数: 3

摘要

车辆自组织网络(VANETs)正在成为解决道路交通中移动性和安全性等多重问题的可能解决方案。在VANETs中存在的主要问题之一是车辆的定位和跟踪。提出了一种基于到达方向估计的被动车辆定位与跟踪方法。所提出的方法不依赖于外部信息源,如全球导航卫星系统(GNSS),可用于减少欺骗的可能性或为完整性目的提供第二个独立的位置估计源。该算法利用阵列信号处理技术对网络中其他车辆的位置和方向进行估计。此外,它是一种完全被动的方法,可以减轻网络负载,因为它不需要任何基于位置的数据交换,并且可以由任何侦听车辆使用任何数据传输的信号来执行。一组数值仿真验证了所提方法的有效性,结果表明该方法的精度高于全球定位系统(GPS)接收机的平均精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antenna Array Based Localization Scheme for Vehicular Networks
Vehicular ad hoc networks (VANETs) are emerging as the possible solution for multiple concerns in road traffic such as mobility and safety. One of the main concerns present in VANETs is the localization and tracking of vehicles. This work presents a passive vehicle localization and tracking method based on direction of arrival (DOA) estimation. The proposed method does not rely on external sources of information such as Global Navigation Satellite Systems (GNSS) and can be used to mitigate the possibility of spoofing or to provide a second independent source of position estimation for integrity purposes. The proposed algorithm uses array signal processing techniques to estimate not only the position but also the direction of other vehicles in network. Furthermore, it is a fully passive method and can alleviate the network load since it does not require any location based data exchange and can be performed by any listening vehicle using the signal of any data transmission. A set of numerical simulations is used to validate the proposed method and the results are shown to be more precise than the average accuracy of Global Position System (GPS) receivers.
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