Research On GNSS System Joint Positioning Technology Based On Kalman Filter

In recent years,the society continues to progress,each city is also developing at the speed of rapid progress,all kinds of tall buildings stand in the center of each city.With the development and progress of the country,people's demand for positioning is gradually increasing,and the accuracy of the requirements are also increasingly high.However,due to the large number of buildings in the city,the satellite signals of positioning are blocked,and there are often situations where positioning is not possible or positioning effect is not good.In complex urban environments or indoor,under the condition of single satellite signal sheltered by the surrounding buildings,lead to the problem of poor visibility,this paper designed the joint positioning system for single point positioning,and using kalman filter algorithm and the federal kalman filter algorithm is analyzed with the result of positioning.In order to collect experimental data,this paper designs a comprehensive protection portable file transfer protection box system with enhanced algorithm.This system uses the global positioning information as a "mobile unlocking key",the combination of identity card and mechanical key,and the management mode of mutual restriction.Make this file transfer protection box can only be in the designated place and with three people respectively control of the three keys to open the double lock,so as to take,save the operation,for the security of the country and people's important data files play a very important role.The application system strives to reduce the complexity from the production,easy to promote production,and can be used across industries.In this paper,the federated Kalman filter algorithm is experimentally analyzed.The data collected by Jisubo UG905 is used as the reference data of the anchor point,and the recursive least square method and classical Kalman filter are used as the comparison algorithm.The positioning data processed by the filter is compared with the reference data.The results show that the linear distance of federated kalman filter is 24.1% higher than that of kalman filter,16.7% higher than that of least-square method,69.9% higher than that of federated kalman filter,60.9% higher than that of least-square method.The experimental results show that the proposed GNSS joint positioning technology based on federated Kalman filter has better reliability and accuracy,and can effectively improve the positioning accuracy.