Toward improving indoor magnetic field-based positioning system using pedestrian motion models
文献类型：期刊论文
| 作者 | Luo, Haiyong2; Shao, Wenhua3; Zhao, Fang3; Crivello, Antonino1 |
| 刊名 | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
 |
| 出版日期 | 2018-09-27 |
| 卷号 | 14期号:9页码:20 |
| 关键词 | Indoor location-based services pedestrian motion model magnetic field positioning attitude detection indoor positioning |
| ISSN号 | 1550-1477 |
| DOI | 10.1177/1550147718803072 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000450835500001 |
| 出版者 | SAGE PUBLICATIONS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/4347]  |
| 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.Inst Informat Sci & Technol, Pisa, Italy 2.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China 3.Beijing Univ Posts & Telecommun, Sch Software Engn, POB 2704,6 Kexueyuan South Rd, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Haiyong,Shao, Wenhua,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 | Luo, Haiyong,Shao, Wenhua,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 | Luo, Haiyong,et al."Toward improving indoor magnetic field-based positioning system using pedestrian motion models".INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 14.9(2018):20. |
入库方式： OAI收割
来源：计算技术研究所
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