Toward improving indoor magnetic field-based positioning system using pedestrian motion models

doi:10.1177/1550147718803072

	Toward improving indoor magnetic field-based positioning system using pedestrian motion models
	Shao, Wenhua 1; Luo, Haiyong 2; Zhao, Fang 1; Crivello, Antonino 3
	2018-09-27
发表期刊	INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
ISSN	1550-1477
卷号	14 期号:9 页码:20
摘要	Indoor magnetic field has attracted considerable attention in indoor location-based services, because of its pervasive and stable attributes. Generally, in order to harness the location features of the magnetic field, particle filters are introduced to simulate the possibilities of user locations. Real-time magnetic field fingerprints are matched with model fingerprints to adjust the location possibilities. However, the computation overheads of the magnetic matching are rather high, thus limiting their applications to mobile computing platforms and indoor location-based service providers that serve massive users. In order to reduce the computation overhead, the article presents a low-cost magnetic field fingerprint matching scheme. Based on the low-frequency features of the magnetic field, the scheme updates particle weights according to the mass center of the magnetic field deltas of pedestrian steps. The proposed low-cost scheme decreases the complexity of real-time fingerprints without harming the positioning performance. In order to further improve the positioning accuracy, not asking users to hold the smartphone in fixed attitudes, we also present a smartphone attitude detection method that enables the proposed scheme to automatically select proper fingerprints. Experiments convincingly reveal that the proposed scheme achieves about 1 m accuracy at 80% with low computation overheads.
关键词	Indoor location-based services pedestrian motion model magnetic field positioning attitude detection indoor positioning
DOI	10.1177/1550147718803072
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program[2018YFB0505200] ; National Natural Science Foundation of China[61872046] ; BUPT Excellent PhD Students Foundation[CX2017404] ; Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000450835500001
出版者	SAGE PUBLICATIONS INC
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4348
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Shao, Wenhua
作者单位	1.Beijing Univ Posts & Telecommun, Sch Software Engn, POB 2704,6 Kexueyuan South Rd, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China 3.Inst Informat Sci & Technol, Pisa, Italy
推荐引用方式 GB/T 7714	Shao, Wenhua,Luo, Haiyong,Zhao, Fang,et al. Toward improving indoor magnetic field-based positioning system using pedestrian motion models[J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,2018,14(9):20.
APA	Shao, Wenhua,Luo, Haiyong,Zhao, Fang,&Crivello, Antonino.(2018).Toward improving indoor magnetic field-based positioning system using pedestrian motion models.INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,14(9),20.
MLA	Shao, Wenhua,et al."Toward improving indoor magnetic field-based positioning system using pedestrian motion models".INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 14.9(2018):20.