Research And Application Of IBeacon Indoor Positioning Method With Multi-filters

With the rapid development of location-based services(LBS)such as navigation,The demand for precise indoor positioning is steadily on the increase such as market positioning,museum positioning and basement positioning,so a variety of positioning technologies are applied to indoor positioning,such as Bluetooth,Wi-Fi,geomagnetism and so on.Since its debut in 2013,the iBeacon technology has become a research hotspot and has been widely used in wireless sensor network(WSN)because of its low power consumption and long signal transmission distance.Combing the latest trend of development,the paper proposes a type of indoor positioning method based on iBeacon technology through the analysis of the characteristic of indoor positioning technology.On this basis,an indoor positioning system with high positioning accuracy and low cost is designed and developed by using the existing equipment in the laboratory,and the system is successfully deployed in the experimental unit of the author's project.The main research contents are as follows:(1)The improved weighted centroid location algorithm,which is suitable for the experimental environment,is introduced to deal with the problem that larger positioning error appeared when the deployment density of iBeacon is low in the iBeacon indoor positioning system.The experimental results show that even if the deployment density of beacon is the lowest value as set in this paper,the proportion of positioning errors within lm,1.5m and 2m can reach 55%,92%and 97%respectively.(2)In order to improve the stability and reliability of positioning results,the Kalman filter algorithm and recursive average filter algorithm are introduced into the iBeacon indoor positioning system.It deals with problems such as the jumping of positioning results caused by movement of personnel and distortion of signal during the indoor positioning process.(3)A simple and easy-to-use indoor location system,which has been tested in real-world environment,is designed and developed by using existing equipments,It is tested and used in real environment.The server developed using MyEclipse IDE has achieved the main functions such as implementing the location algorithm and optimizing the positioning the positionin results;The mobile client developed using Android Studio IDE has achieved the main functions such as acquiring,analyzing and sorting the signals by intensity during the positioning process.