An Study of Indoor Localization Algorithm Based on Imperfect Signal Coverage in Wireless Networks
Existing localization algorithms didnt consider the important factor of the antenna measuring angles.And most wireless indoor localization algorithms require a site survey process which is time-consuming and labor-intensive.This paper presents a featured region localization algorithm without site survey and discusses the measured angle in different intervals.According to the relationship among the fingerprints sets of the same angle interval, our proposed algorithm is used to find the featured points within the region.Regions of points are determined by calculating Euclidean distance between the points and APs (Access Points).Experiments are conducted in an 8m by 8m laboratory, and results show that this algorithm has superior performance compared with existing algorithms.
localization measured angles site survey featured points
Ping Li Limin Sun Qing Fang Jinyang Xie Wu Yang Kui Ma
Computer and Communication Engineering Institute, Changsha University of Science and Technology, Hun Computer and Communication Engineering Institute, Changsha University of Science and Technology, Hun Wuxi Internet of Things Industry Research Institute,Jiangsu, 214000, China
国际会议
4th international Conference,ICSI2013(第4届群体智能国际会议)
哈尔滨
英文
325-333
2013-06-12（万方平台首次上网日期，不代表论文的发表时间）