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基于多源信息融合的车辆定位系统设计
引用本文:李伟,杨文铂. 基于多源信息融合的车辆定位系统设计[J]. 自动化仪表, 2021, 0(2): 94-97
作者姓名:李伟  杨文铂
作者单位:河南工业职业技术学院电子信息工程学院
摘    要:车辆定位是智能交通系统中实现车际信息交互的关键支撑技术.针对现有通用车辆定位算法存在的定位漂移、精度不足、实时性差、鲁棒性弱等特点,在分析全球定位系统(GPS)及ZigBee技术基础上,设计了一种使用GPS和ZigBee多源信息融合的车辆定位系统.通过ZigBee组建网络,以GPS与接收信号强度指示(RSSI)多源联合...

关 键 词:车辆定位  无线传感网络  智能交通  协同定位  Kalman滤波

Design of Vehicle Positioning System Based on Multi-Source Information Fusion
LI Wei,YANG Wenbo. Design of Vehicle Positioning System Based on Multi-Source Information Fusion[J]. Process Automation Instrumentation, 2021, 0(2): 94-97
Authors:LI Wei  YANG Wenbo
Affiliation:(School of Electronic and Information Engineering,Henan Polytechnic Institute,Nanyang 473000,China)
Abstract:Vehicle positioning is the key supporting technology for information interaction between vehicles inan intelligent transportation system.Aiming at the shortcomings of existing general vehicle location algorithms,such as location drift,insufficient accuracy,real-time performance and robustness,etc.,a vehicle positioning system using global positioning system(GPS)and ZigBee multi-source fusion information is designed based on the analysis of GPS and ZigBee.Through the ZigBee network,the target node is located in the form of multi-source joint positioning in fusion of GPS and received signal strength indieation(RSSI).The information collection of vehicle groups equipped with a positioning device is carried out.The hardware is selected and designed,and the positioning application program is developed to realize the precise positioning of the vehicle.The system provides a user interface,which effectively solves the accuracy problem of inter-vehicle positioning.The experiment results show that the maximum absolute error of measurement is 3~5 m,the correctness and feasibility of the system applied to vehicle positioning are verified,and it can meet the practical requirements.
Keywords:Vehicle positioning  Wireless sensor network  Intelligent transportation  Co-location  Kalman filtering
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