Research And Application Of Improved Method Of Mobile Node Fast Iocation Optimization

With the development and progress of science,people's demand for location service is increasing day by day,and the application scope of location technology is also more extensive.In the outdoor Positioning technology,satellite-based Positioning technologies such as Global Positioning System(GPS)and Beidou have become mature,but the indoor environment is complex and there are many kinds of shielding obstacles,which increase the difficulty of Positioning.At present,there is no relatively perfect technical solution for indoor Positioning.With the development of Wireless Sensor Network(WSN)technology,ZigBee technology has become a research hotspot of indoor positioning technology due to its advantages of low power consumption,low cost and simple networking.However,ZigBee communication signals are susceptible to environmental factors,resulting in low positioning accuracy.In addition,the time delay and packet loss phenomenon in the signal transmission process also affect the real-time positioning.Based on ZigBee positioning technology,how to improve its positioning accuracy and speed has become an urgent problem to be solved.In this paper,the ZigBee-based indoor positioning method was optimized and improved based on the key technology research of the construction of safe campus based on the multi-sensor big data fusion of the technology research project of Jilin Provincial Science and Technology Department Inertial sensing element is added into the mobile node module,and the extended Kalman filter algorithm is used to fuse the inertial navigation data with ZigBee positioning data,which improves the accuracy of positioning For the structural design of the positioning system,the ZigBee positioning network at the bottom of the rapid processing of data positioning sub-stations,the use of data rapid processing chip positioning data in the bottom calculation,eliminating the data transmission to the server time delay,increase the speed of positioning data processing,improve the real-time positioning According to the above improvement methods,this study designed a set of ZigBee technology.Through the analysis of test results,the data fusion positioning technology with extended Kalman filter improves the positioning error of traditional ZigBee from 2m to 0.5m,which improves the problem of low positioning accuracy of traditional ZigBee.The application of positioning sub-stations also greatly reduces the positioning time,which proves the feasibility of the improved method and has a certain research value.