Active RFID Indoor Positioning and Navigation Based on Probability Method

被引:0
作者
Tang, Hui [1 ]
Kim, Don [1 ]
机构
[1] Univ New Brunswick, Geodet Res Lab, Dept Geodesy & Geomat Engn, Fredericton, NB, Canada
来源
PROCEEDINGS OF THE 23RD INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2010) | 2010年
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Although RFID-based indoor positioning and navigation systems have been developed by many researchers over the world, improving positioning and navigation accuracy to a higher level (e.g., better than 1 m) is still a challenging task. Conventionally, the received signal strength is converted to a tag-reader range and the location is determined using trilateration. However, in a typical indoor environment, it is difficult to model precisely the relationship of received signal strength and a tag-reader range due to multipath. In this paper, we proposed a probabilistic localization approach to handle uncertainties and errors in the received signal strength. A signal-strength-to-range observation model was built based on the probabilistic characteristics of sample calibration data. To deal with nonlinear, non-Gaussian and non-stationary problems in indoor positioning and navigation, a redistributed particle filter was developed. Although our research and development is still in an early stage, we could attain promising results by improving the observation model and sub-optimal estimator used for the particle filter.
引用
收藏
页码:3388 / 3397
页数:10
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