通信学报2017，Vol.38Issue(5)：1-10,10.DOI:10.11959/j.issn.1000-436x.2017076
室内BLE/MEMS跨楼层融合定位算法
Indoor BLE and MEMS based multi-floor fusion positioning algorithm
摘要
Abstract
Based on the data fusion from micro electro mechanical system (MEMS) sensors and low-power bluetooth (BLE),an indoor BLE and MEMS based multi-floor positioning algorithm was proposed.First of all,the affinity propagation clustering,outlier detection and received signal strength indicator (RSSI) filtering algorithms were applied to denoise the fingerprint database.Second,by using the extended Kalman filter,the robust M estimation algorithm was used to perform the optimal estimation of the two-dimensional target position.Finally,the barometer output and geographical position information was considered to realize the height estimation of the target.The experimental results show that the proposed system is able to achieve the horizontal and vertical positioning errors lower than 0.7 m and 0.35 m respectively in multi-floor fusion positioning.关键词
室内定位/跨楼层/数据融合/低功耗蓝牙/微机电系统Key words
indoor positioning/multi-floor/data fusion/BLE/MEMS分类
信息技术与安全科学引用本文复制引用
周牧,王斌,田增山,张千坤..室内BLE/MEMS跨楼层融合定位算法[J].通信学报,2017,38(5):1-10,10.基金项目
国家自然科学基金资助项目(No.61301126,No.61471077) （No.61301126,No.61471077）
长江学者和创新团队发展计划基金资助项目(No.IRT1299) （No.IRT1299）
重庆市科委重点实验室专项经费基金资助项目 （）
重庆市基础与前沿研究计划基金资助项目(重点)(No.cstc2015jcyjBX0065) （重点）
重庆市高校优秀成果转化基金资助项目(No.KJZH17117).The National Natural Science Foundation of China (No.61301126,No.61471077),Program for Changjiang Scholars and Innovative Research Team in University (No.IRT1299),Special Fund of Chongqing Key Laboratory (CSTC),Fundamental and Frontier Research Project of Chongqing (Key Project) (No.cstc2015jcyjBX0065),University Outstanding Achievement Transformation Project of Chongqing (No.KJZH17117) （No.KJZH17117）
