利用V2X增强GPS的协同车辆定位方法

doi:10.16182/j.issn1004731x.joss.19-FZ0309

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (12): 2901-2906.doi: 10.16182/j.issn1004731x.joss.19-FZ0309

• 短文 • 上一篇

利用V2X增强GPS的协同车辆定位方法

王玖玲¹, 吴韶波¹, 张媛利², 邱佳慧³, 刘琪³

1. 北京信息科技大学信息与通信工程学院,北京 100101;
2. 西安电子科技大学通信工程学院,陕西西安 710071;
3. 中国联通网络技术研究院,北京 100048

收稿日期:2019-05-16 修回日期:2019-07-12 发布日期:2019-12-13
作者简介:王玖玲(1995-),男,陕西安康,硕士生,研究方向为多源信息融合;吴韶波(1970-),女,江苏常熟,硕士,副教授,研究方向为智慧感知与信息处理。
基金资助:
北京市教委科技创新服务能力建设项目(77F1910960)

Cooperative Vehicle Positioning Method based on V2X Enhanced GPS

Wang Jiuling¹, Wu Shaobo¹, Zhang Yuanli², Qiu Jiahui³, Liu Qi³

1. School of Information & Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China;
2. Communication Engineering, Xidian University, Xi’an 710071, China;
3. Network Technology Research Institute of China United Network Communications Group Co., Ltd., Beijing 100048, China

Received:2019-05-16 Revised:2019-07-12 Published:2019-12-13

摘要/Abstract

摘要： 为进一步提高车辆定位精度和对定位环境的适应能力,利用车联网（V2X）通信网络进行辅助定位,以实现对GPS/DR组合定位的增强。首先GPS、DR和V2X辅助定位3个子系统独立地进行滤波估计,然后从GPS和V2X辅助定位中选择一个较好的估计结果和DR进行全局最优合成,最后以最优合成的结果反馈重置3个子滤波器。仿真结果表明,在GPS信号受多径干扰严重的时候,与单独GPS定位和GPS/DR组合定位相比,协同定位方法在性能方面分别提升了64%和36%,比常规方案有更高的定位精度和更好的环境适应能力。

关键词: 组合导航, 协同定位, 滤波估计, 信息融合, 车联网

Abstract: In order to further improve the vehicle positioning accuracy and adaptability to the environment, V2X (vehicle to everything) communication network is used for auxiliary positioning to enhance the GPS/DR integrated positioning. Firstly, the three subsystems of GPS, DR and V2X auxiliary positioning independently perform filtering estimation, and then a better estimation from the GPS and V2X auxiliary positioning is selected to conduct global optimal fusion with DR, and finally the three sub-filters are reset with the feedback of the optimal result. Simulation results show that when the GPS signal is seriously affected by multipath interference, the positioning performance of the method in this paper is improved by 64% and 36%, respectively, compared with the single GPS and GPS/DR integrated positioning, which has higher accuracy and better environmental adaptability than the conventional scheme.

Key words: integrated navigation, cooperative positioning, filtering estimation, information fusion, V2X

中图分类号:

TN967.2

王玖玲, 吴韶波, 张媛利, 邱佳慧, 刘琪. 利用V2X增强GPS的协同车辆定位方法[J]. 系统仿真学报, 2019, 31(12): 2901-2906.

Wang Jiuling, Wu Shaobo, Zhang Yuanli, Qiu Jiahui, Liu Qi. Cooperative Vehicle Positioning Method based on V2X Enhanced GPS[J]. Journal of System Simulation, 2019, 31(12): 2901-2906.

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利用V2X增强GPS的协同车辆定位方法

Cooperative Vehicle Positioning Method based on V2X Enhanced GPS

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