On the Accuracy of Wi-Fi Localization using Robot and Human Collected Signatures

被引：0

作者：

Niu, Luyao ^{[1
]}

Fan, Yingyue ^{[1
]}

Pahlavan, Kaveh ^{[1
]}

Liu, Guanxiong ^{[1
]}

Geng, Yishuang ^{[1
]}

机构：

[1] Worcester Polytech Inst, Ctr Wireless Informat Network Studies, Worcester, MA 01609 USA

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | 2016年

关键词：

Wi-Fi; indoor localization; robot; database collection;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

As one of the most popular ways for Wi-Fi based indoor localization, the received signal strength ( RSS) can provide us localization results with accuracy proportional to the quality of Wi-Fi database collection. In this paper, we collected two Wi-Fi databases using human and robot respectively. The experiments are conducted on the 3rd floor of Atwater Kent laboratory. Based on the two databases, we use an offline process to generate Wi-Fi RSS maps which can be used to estimate any arbitrary position. Furthermore, a comparison of the performance of different localization algorithms based on different databases are provided and analyzed.

引用

页数：4

共 10 条

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