微型机与应用2016，Vol.35Issue(22)：72-76,5.DOI:10.19358/j.issn.1674-7720.2016.22.019
一种多元信息融合的室内定位方法
An indoor localization method based on multi-data fusion
摘要
Abstract
Existing indoor localization methods still face problems in positioning accuracy.An indoor localization method based on multi-data fusion with mobile phone is proposed.Firstly, this method gets user's initial position using the WiFi fingerprint filtered location algorithm based on KNN, and uses pedestrian dead reckoning(PDR) positioning to estimate next position coordinate.Then, it weights and averages the WiFi and magnetic coordinates to correct the estimated positions.Kalman filter is finally used to get user's accurate positions.Furthermore, we designed a cellphone indoor positioning software based on Android platform and successfully got the accurate trajectory.The experiment results show that this proposed method can get higher position accuracy, reducing the average errors to 1 meter.关键词
室内定位/WiFi/地磁/卡尔曼滤波Key words
indoor localization/WiFi/magnetic/Kalman filter分类
测绘与仪器引用本文复制引用
周启臻,邢建春,李决龙,杨启亮..一种多元信息融合的室内定位方法[J].微型机与应用,2016,35(22):72-76,5.基金项目
江苏省自然科学基金项目(BK20151451) （BK20151451）
