期刊
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
卷 22, 期 7, 页码 717-726出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/09511920802209074
关键词
RFID technology; localisation; triangulation; near-neighbour; Bayesian inference
Localisation of objects is an innovative application of radio frequency identification (RFID) technology. The combination of localisation and identification capabilities provides tremendous opportunities for industry. This paper presents a study oil localisation using passive RFID technology. By calibrating the propagation of radio frequency (RF) signals, we develop empirical models on readcount as a function of the distance and orientation between the antenna and the tag. Thereafter we conduct experiments to study the applicability of three widely-used localisation algorithms, namely, triangulation, near-neighbour, and Bayesian inference, for passive RFID localisation. Finally, we briefly compare three algorithms in terms of localisation error, computation time, Mid deployability. It is discovered that all algorithms perform reasonably well, and no algorithms actually outperform others.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据