中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Slide: Towards Fast and Accurate Mobile Fingerprinting for WiFi Indoor Positioning Systems

文献类型:期刊论文

作者Kongyang Chen; Chen Wang; Zhimeng Yin; Hongbo Jiang; Guang Tan
刊名IEEE SENSORS JOURNAL
出版日期2017
文献子类期刊论文
英文摘要The deployment of WiFi fingerprint based indoor positioning systems is severely hindered by the lack of an efficient and low-cost way to establish a signal fingerprint database. In this paper, we present a novel fingerprinting method, Slide, that can collect fingerprints in a fast and accurate way. Slide uses a commodity flashlight and a smartphone to achieve linear positioning. This allows automatic mapping from the received signal strength (RSS) to the position on a line, serving as a building block for fingerprinting in general environments. Slide also features a channel-based scanning method, which acquires fingerprint location after each WiFi channel scanning, to mitigate the fingerprint misalignment problem found in the general mobile fingerprinting. Quantitative analysis and experimental results show that Slide is faster than the manual fingerprinting method by up to an order of magnitude with comparable positioning accuracy, and is also more efficient than state-of-the-art mobile fingerprinting methods.
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语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/12557]  
专题深圳先进技术研究院_数字所
作者单位IEEE SENSORS JOURNAL
推荐引用方式
GB/T 7714
Kongyang Chen,Chen Wang,Zhimeng Yin,et al. Slide: Towards Fast and Accurate Mobile Fingerprinting for WiFi Indoor Positioning Systems[J]. IEEE SENSORS JOURNAL,2017.
APA Kongyang Chen,Chen Wang,Zhimeng Yin,Hongbo Jiang,&Guang Tan.(2017).Slide: Towards Fast and Accurate Mobile Fingerprinting for WiFi Indoor Positioning Systems.IEEE SENSORS JOURNAL.
MLA Kongyang Chen,et al."Slide: Towards Fast and Accurate Mobile Fingerprinting for WiFi Indoor Positioning Systems".IEEE SENSORS JOURNAL (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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