电子科技大学学报2018，Vol.47Issue(3)：415-420,6.DOI:10.3969/j.issn.1001-0548.2018.03.015
基于粒子滤波和地图匹配的融合室内定位
Fused Indoor Localization Based on Particle Filtering and Map Matching
摘要
Abstract
In order to improve the accuracy of localization, the paper applies particle filtering to fuse WiFi fingerprinting and pedestrian dead reckoning (PDR). The map matching algorithm. The map matching algorithm first makes use of the indoor map to constrain the improper transitions of particles to reduce wall-crossing problems of them and then corrects wall-crossing problems of trajectories with a trace-back method. Evaluations show that the trajectories of the fused solution are closer to the real trajectories than WiFi fingerprinting and PDR, and after map matching the trajectories are more accurate and reasonable.关键词
室内定位/地图匹配/粒子滤波/行人航位推算/WiFi指纹Key words
indoor localization/map-matching/particle filtering/pedestrian dead reckoning/WiFi fingerprinting分类
信息技术与安全科学引用本文复制引用
周瑞,鲁翔,卢帅,李志强,桑楠..基于粒子滤波和地图匹配的融合室内定位[J].电子科技大学学报,2018,47(3):415-420,6.基金项目
国家科技支撑计划(2012BAH44F00) （2012BAH44F00）
