Improved Radio Frequency Identification Indoor Localization Method via Radial Basis Function Neural Network
المؤلفون المشاركون
Zhang, Yudong
Guo, Dongliang
Li, Zhonghua
Xiang, Qiao
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-09
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-470826
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر