| Position information,positioning technology and location service open up a research fever in new era,covering the intelligent transportation,smart home,intelligent industry,agriculture,business,intelligent city and many other areas.GPS and cellular network positioning technology are widely used in outdoor location service.Due to non-line of sight and multi-path effects,their signal strength and positioning accuracy can not meet the indoor positioning requirements.More over,the GPS has high power consumption and expensive system cost.The current indoor positioning technology is mainly wireless positioning technology.From the recent years of indoor positioning research we can see,Bluetooth low power 4.0 technology has advantages in high precision,low power consumption,easy to deploy,simple system,low cost.Simultaneously,smart phones,iPhone,iPad and other intelligent terminal equipment develop rapidly,and most of them support BLE function.These strengths promote the application of indoor iBeacon technology.Bluetooth positioning technology will become a pillar of indoor positioning technology,and the prospect is very broad.This paper analysed the research status of positioning technology and positioning algorithm in the indoor location.Then depth analysis and research the fingerprint database matching positioning based on the Bluetooth iBeacon.At last,analysis the feasibility and advantages of correlation matching the iBeacon fingerprint database positioning.The main work of this paper is shown as follows:(1)This article studies the iBeacon arrangement of the typical indoor office environment.In order to distinguish the RSSI sequences collected at each location in the locating area,meanwhile considering the actual arrangement cost and positioning accuracy requirements,the iBeacon base station is arranged between 3 and 5 meters.(2)This paper analyzes the direction,time and personnel interference of collecting RSSI in the experimental environment,and makes a planning of the distribution of reference points.Then the scheme of single point multi-direction multiple acquisition is determined.After collecting the fingerprint database,the Kalman mean filtering is carried out to build a steady and accurate iBeacon signal fingerprint database.(3)A algorithm of correlation matching the fingerprint database is proposed.After twice screening of the fingerprint database,calculates the correlation coefficient ? between the unknown point with the reference point,then gets the correlation coefficient in therange of 0.8 ?|? ?(27)(16).Afterwards,the significant test is carried out to acquire the K-nearest matching reference points.Finally,the reference points are weighted by the absolute value of the correlation coefficient as the weighting factor to obtain the estimated position.The experimental results show that the probability of the positioning error of within 2 meters can be increased from 65% to 92% in correlation coefficient matching fingerprint algorithm.Compared to traditional KNN matching localization algorithm,correlation matching algorithm has the higher positioning precision,the shorter positioning time and more stable algorithm performance.(4)This article designs and realizes the fingerprint collection and real-time location of the indoor positioning system based on iBeacon.Firstly,the Android mobile platform is selected to collect and deal with the iBeacon signal and upload the iBeacon signal fingerprint.And then the background server of the J2 EE architecture is choosed to save the location fingerprint database and realize correlation matching real-time positioning.Finally the positioning result is fed back to the user to achieve the display of the correlation matching positioning results. |
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