车联网中基于伪距双差的车辆定位技术
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Vehicle Positioning Technology Based on Pseudorange Double Difference in Internet of Vehicles
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    摘要:

    为满足车联网中定位精度的要求, 本文提出了一种伪距双差车辆相对定位算法,该算法通过车辆间伪距信息的车到车(Vehicle-to-vehicle,V2V)交互,抵消了公共误差及不同接收机的时钟偏移量,提高了伪距双差的车辆定位精度。通过对比分析伪距双差算法与全球定位系统(Global position system,GPS)单点定位算法的距离误差均方根,证明了伪距双差算法的定位精度。仿真结果表明采用伪距双差算法(Double differencing relative,DDR) 的相对定位技术在公共可见卫星 数大于4时,其相对定位性能优于GPS单点定位方法。

    Abstract:

    To achieve the accuracy required in Internet of vehicles ,a global position system (GPS)-based pseudorange double differencing relative positioning algorithm is proposed.The pseudorange information of the proposed algorithm between vehicles is exchanged through vehicle-to-vehicle(V2V) communication. Furthermore, the satellite public error and receiver clock offset are eliminated so that the positioning precision of the vehicle can be improved. It is proved that the pseudorange double difference algorithm can highly improve the positioning accuracy by analyzing and comparing the distance error root mean square(RMS) with that of GPS single-point positioning algorithm. Simulation results verify that the relative positioning performance of pseudorange double difference algorithm significantly outperform that of GPS single-point positioning algorithm when there are more than four common and visible satellites.

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赵海涛朱洪波刘南杰杜艾芊.车联网中基于伪距双差的车辆定位技术[J].数据采集与处理,2016,31(6):1178-1184

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  • 在线发布日期: 2018-04-09