电讯技术2017，Vol.57Issue(4)：450-456,7.DOI:10.3969/j.issn.1001-893x.2017.04.014
卡尔曼滤波在iBeacon室内定位系统中的应用
Application of Kalman Filter in an iBeacon Indoor Positioning System
摘要
Abstract
In order to suppress the iBeacon signal noise caused by the disturbance of staff and multipath effects in communication process,as well as improve the stability of positioning results during the mobile positioning process,the Kalman filter algorithm is introduced into an iBeacon indoor positioning system for respectively processing the collected iBeacon signal and mobile positioning results.Firstly,the Kalman filter is used to process the collected signal,as a result,the signal noise is reduced and the quality of signal is improved.Secondly,the Kalman filter is used to estimate the optimal value of the mobile positioning results so as to improve the stability and accuracy.Experimental results show that the positioning accuracy within 1 m can be increased to 80% by using the Kalman filter in the office environment.关键词
iBeacon室内定位/卡尔曼滤波/信号采集/实时定位/多径效应Key words
iBeacon indoor positioning/Kalman filter/signal acquisition/realtime positioning/multipath effects分类
信息技术与安全科学引用本文复制引用
孔庆达,余成波,李彩虹..卡尔曼滤波在iBeacon室内定位系统中的应用[J].电讯技术,2017,57(4):450-456,7.基金项目
国家自然科学基金资助项目(61402063) （61402063）
重庆市科技人才培养计划(新产品研发团队)资助项目(CSJC2013KJRC-TDJS40012) （新产品研发团队）
重庆市高校优秀成果转化资助项目(KJZH14213) （KJZH14213）
