Collaborative Warning System for Dense Vehicular Networks Using MUSIC Algorithm DoA

2013 Third International Conference on Advances in Computing and Communications Pub Date : 2013-08-29 DOI:10.1109/ICACC.2013.110

C. Warty, R. Yu, K. ElMahgoub

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引用次数: 1

Abstract

The problem of providing a collaborative early warning system for multiple moving vehicles against a small size fast moving object like a motorbike. This approach consists of three stages: The first stage consists of detecting the incoming object using a highly directive antenna at 5.0 GHz in license free industrial, scientific and medical (ISM) band. The second stage consists of broadcasting the warning message using a low directivity broad beam antenna, third stage will be detected by receiving vehicles by using direction of arrival (DOA) estimation technique. The position of a fast arriving object can be estimated using the MUSIC algorithm for warning beam DOA estimation. This paper is intended to demonstrate the feasibility of an early detection and warning system using a collaborative vehicle to vehicle communication links. The simulation is performed to show the behavior of detecting and broadcasting antennas as well as performance of the detection algorithm. The process can be further expanded to implement commercial grade detection and warning system.

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基于MUSIC算法的密集车辆网络协同预警系统

为多辆移动车辆对抗小型快速移动物体(如摩托车)提供协作预警系统的问题。该方法包括三个阶段:第一阶段包括使用工业、科学和医疗(ISM)免许可频段的5.0 GHz高定向天线探测来袭物体。第二级采用低指向性宽波束天线广播预警信息，第三级由接收车辆采用到达方向估计技术进行探测。利用MUSIC算法估计预警波束的DOA，可以估计快速到达目标的位置。本文旨在演示使用协作车对车通信链路的早期检测和预警系统的可行性。仿真显示了探测和广播天线的行为以及检测算法的性能。该过程可以进一步扩展到实现商业级的检测和预警系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 Third International Conference on Advances in Computing and Communications

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