A Statistical Estimation Analysis of Indoor Positioning WLAN Based Fingerprinting

被引：0
|
作者：
Nastac, Dumitru Iulian [1 ]
Iftimie, Florentin Alexandru [1 ]
Arsene, Octavian [1 ]
Cherciu, Costel [1 ]
机构：
[1] Univ Politehn Bucuresti, Fac Elect Telecommun & Informat Technol, Bucharest, Romania
来源：
2017 IEEE 23RD INTERNATIONAL SYMPOSIUM FOR DESIGN AND TECHNOLOGY IN ELECTRONIC PACKAGING (SIITME) | 2017年
关键词：
Kahn an filter; Indoor positioning; WLAN based fingerprinting;
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：
The indoor positioning is a new topic in today's navigation and positioning research fields, which presents quite various challenging issues. A statistical approach to treat Wireless Local Area Network (WLAN) based fingerprinting using Received Signal Strengths (RSS) is described here. This study structures this approach as a time-series of the RSS and position data. Kalman filter is applied in order to improve the position prediction based on the measured RSS signal.
引用
收藏
页码：235 / 238
页数：4
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