Improved Radio Frequency Identification Indoor Localization Method via Radial Basis Function Neural Network
Joint Authors
Zhang, Yudong
Guo, Dongliang
Li, Zhonghua
Xiang, Qiao
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-09
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Indoor localization technique has received much attention in recent years.
Many techniques have been developed to solve the problem.
Among the recent proposed methods, radio frequency identification (RFID) indoor localization technology has the advantages of low-cost, noncontact, non-line-of-sight, and high precision.
This paper proposed two radial basis function (RBF) neural network based indoor localization methods.
The RBF neural networks are trained to learn the mapping relationship between received signal strength indication values and position of objects.
Traditional method used the received signal strength directly as the input of neural network; we added another input channel by taking the difference of the received signal strength, thus improving the reliability and precision of positioning.
Fuzzy clustering is used to determine the center of radial basis function.
In order to reduce the impact of signal fading due to non-line-of-sight and multipath transmission in indoor environment, we improved the Gaussian filter to process received signal strength values.
The experimental results show that the proposed method outperforms the existing methods as well as improves the reliability and precision of the RFID indoor positioning system.
American Psychological Association (APA)
Guo, Dongliang& Zhang, Yudong& Xiang, Qiao& Li, Zhonghua. 2014. Improved Radio Frequency Identification Indoor Localization Method via Radial Basis Function Neural Network. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-470826
Modern Language Association (MLA)
Guo, Dongliang…[et al.]. Improved Radio Frequency Identification Indoor Localization Method via Radial Basis Function Neural Network. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-470826
American Medical Association (AMA)
Guo, Dongliang& Zhang, Yudong& Xiang, Qiao& Li, Zhonghua. Improved Radio Frequency Identification Indoor Localization Method via Radial Basis Function Neural Network. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-470826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470826