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首页> 外文期刊>The Journal of Navigation >A DSRC Doppler/IMU/GNSS Tightly-coupled Cooperative Positioning Method for Relative Positioning in VANETs
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A DSRC Doppler/IMU/GNSS Tightly-coupled Cooperative Positioning Method for Relative Positioning in VANETs

机译:VANET相对定位的DSRC多普勒/ IMU / GNSS紧密耦合协同定位方法

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摘要

Relative position awareness is a vital premise for the implementation of emerging intelligent transportation systems. However, commercial Global Satellite Navigation Systems (GNSS) receivers do not satisfy the requirements of these applications. Fortunately, Cooperative Positioning (CP) systems, based on inter-vehicle communications, have improved performance of relative positioning in a Vehicular Ad Hoc Network (VANET). CP techniques rely primarily on measurements from the Global Positioning System (GPS) to deliver measurements or positions that describe the location of individual vehicles. In urban environments, the reduced quality or complete unavailability of GPS measurements challenges the effectiveness of any CP algorithm. In this paper, a new enhanced tightly-coupled CP technique is presented by adding the measurements from low-cost inertial sensors and the Doppler shift of the carrier of Dedicated Short-Range Communications (DSRC) signals. In the enhanced CP method proposed here, vehicles communicate their Inertial Measurement Unit (IMU) data and GPS measurements. Each vehicle fuses the GPS measurements and IMU data and the inter-node range-rates based on the Doppler shift of the carrier of DSRC signals. Based on analytical and experimental results, in a full GPS coverage environment, the new tight integration CP outperforms tight CP with Inertial Navigation System ( INS), tight CP and differential GPS by at least by 6%, 15%, and 28%, respectively. In a GPS outage, the performance improvement can be up to 60%, 55%, and 66% respectively.
机译:相对位置意识是实施新兴智能交通系统的重要前提。但是,商用全球卫星导航系统(GNSS)接收器不能满足这些应用程序的要求。幸运的是,基于车辆间通信的合作定位(CP)系统在车载自组织网络(VANET)中具有相对定位的改进性能。 CP技术主要依靠来自全球定位系统(GPS)的测量结果来提供描述单个车辆位置的测量结果或位置。在城市环境中,GPS测量质量下降或完全不可用,挑战了任何CP算法的有效性。在本文中,通过添加低成本惯性传感器的测量值和专用短距离通信(DSRC)信号载波的多普勒频移,提出了一种新的增强型紧密耦合CP技术。在此处提出的增强CP方法中,车辆传递其惯性测量单位(IMU)数据和GPS测量值。每辆车都融合了GPS测量值和IMU数据以及基于DSRC信号载波的多普勒频移的节点间测距率。根据分析和实验结果,在完整的GPS覆盖环境中,新的紧密集成CP的性能优于使用惯性导航系统(INS)的紧密CP,紧密CP和差分GPS至少分别提高6%,15%和28% 。在GPS中断的情况下,性能提升分别可以达到60%,55%和66%。

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