RFID Combined With GPS Positioning Algorithm Research

Continuous development of smart city and the internet of things technology puts forward of higher requirements for real-time positioning service.Urban management business is faced with shortage of the method with dynamically and intelligently sensing the position of urban management components,and is restricted to difficult supervision and law enforcement resulted from great mobility of urban components.Then,positioning algorithm with the function of real-time dynamic sensing,higher accuracy,and appropriate to the complex urban environment,is developed.This paper is based on our own school designed algorithm——Cooperative localization algorithm based on mobile radio frequency base station and vehicle GNSS,aiming at the present co-location algorithm with low accuracy,poor stability,lacking of the method to improve accuracy of positioning data,and being confined to the overall combined-positioning accuracy,the research was carried out by GPS positioning data optimization method based on Kalman filter,combined positioning of the base motion equation was deduced,the motion model of base station was constructed,thus the best estimation of GPS data was achieved.Then,the accuracy evaluation experiment of combined-positioning accuracy was designed and completed,and the method to estimate the accuracy of the experimental data was put forward,which applied statistics,such as mean value and mean square error,to GPS positioning accuracy and portfolio positioning accuracy of evaluation,and verified the effect of optimizing GPS positioning data by Kalman filter.For analysis and evaluation of the measured data in the paper,the results show that:(1)With the comparison of estimation and optimization before and after utilizing Kalman filter for GPS positioning data,combination of average positioning error is reduced by 25.8%,and the variance was decreased by 31.2%.(2)After GPS data processing,combination of positioning error is cut down by 0.719 meter,reducing by 28.1%.Meanwhile,positioning accuracy of labels is advanced.This paper expands the data optimization method with positioning algorithm,improving the actual practicality and applicability in the positioning algorithm.