CRIL: An Efficient Online Adaptive Indoor Localization System
文献类型:期刊论文
作者 | Sheng Cai; Weixian Liao; Changqing Luo; Ming Li; Xiaoxia Huang; Pan Li |
刊名 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
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出版日期 | 2017 |
文献子类 | 期刊论文 |
英文摘要 | Indoor localization or indoor positioning systems find their use in many important applications such as augmented reality, guided tours, tracking and monitoring, and situational awareness, and have attracted intense research interests recently. Previous localization systems are usually Received Signal Strength Indication (RSSI) based, Inertial Navigation System (INS) based, or an integration of these two. However, few of them can account for dynamic communication environments where channel states constantly change. To the best of our knowledge, this paper is the first to propose an efficient and adaptive indoor localization system called CRIL, which can adapt to dynamic communication environments quickly and effectively. Moreover, CRIL can account for the uncertainties in RSSI measurements such as varying covariances and outliers as well. Extensive simulation results demonstrate that our proposed CRIL system is able to track both slow changes and sudden changes of the channel states in dynamic environments. Noticeably, the proposed CRIL can perform accurate localization with estimation errors up to 1m, while previous schemes’ localization errors are up to several meters or even tens of meters. Moreover, we test CRIL in real experiments and its localization error is up to 3m in dynamic environments. |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/12543] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY |
推荐引用方式 GB/T 7714 | Sheng Cai,Weixian Liao,Changqing Luo,et al. CRIL: An Efficient Online Adaptive Indoor Localization System[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2017. |
APA | Sheng Cai,Weixian Liao,Changqing Luo,Ming Li,Xiaoxia Huang,&Pan Li.(2017).CRIL: An Efficient Online Adaptive Indoor Localization System.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. |
MLA | Sheng Cai,et al."CRIL: An Efficient Online Adaptive Indoor Localization System".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017). |
入库方式: OAI收割
来源:深圳先进技术研究院
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