基于多源信息融合的车辆定位系统设计  

Design of Vehicle Positioning System Based on Multi-Source Information Fusion

作　　者：李伟[1] 杨文铂[1] LI Wei;YANG Wenbo(School of Electronic and Information Engineering,Henan Polytechnic Institute,Nanyang 473000,China)

机构地区：[1]河南工业职业技术学院电子信息工程学院,河南南阳473000

出　　处：《自动化仪表》2021年第2期94-97,共4页Process Automation Instrumentation

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)多源联合定位信息融合的形式对目标节点定位,对装配定位装置的车辆群进行信息采集。对系统硬件进行了选型和设计,并且完成了定位应用程序的开发,实现了车辆的精确定位。系统提供用户交互界面,有效地解决了车际定位的精度问题。试验表明,测量最大绝对误差为3~5 m,验证了该系统应用于车辆定位的正确性及可行性,可满足实际要求。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.

关 键 词：车辆定位 无线传感网络 智能交通 协同定位 KALMAN滤波 

分 类 号：TH814.92[机械工程—仪器科学与技术]