Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Smart Antennas for Automatic Radio Frequency Identification Readers

Smart Antennas for Automatic Radio Frequency Identification Readers
View Sample PDF
Author(s): Nemai Chandra Karmakar (Monash University, Australia)
Copyright: 2010
Pages: 30
Source title: Ubiquitous and Pervasive Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Judith Symonds (AUT University, New Zealand)
DOI: 10.4018/978-1-60566-960-1.ch040


View Smart Antennas for Automatic Radio Frequency Identification Readers on the publisher's website for pricing and purchasing information.


Various smart antennas developed for automatic radio frequency identification (RFID) readers are presented. The main smart antennas types of RFID readers are switched beam, phased array, adaptive beams forming and multiple input multiple output (MIMO) antennas. New development in the millimeter wave frequency band?60 GHz and above? exploits micro-electromechanical system (MEMS) devices and nano-components. Realizing the important of RFID applications in the 900 MHz frequency band, a 3×2-element planar phased array antenna has been designed in a compact package at Monash University. The antenna covers 860-960 GHz frequency band with more than 10 dB input return loss, 12 dBi broadside gain and up to 40° elevation beam scanning with a 4-bit reflection type phase shifter array. Once implemented in the mass market, RFID smart antennas will contribute tremendously in the areas of RFID tag reading rates, collision mitigation, location finding of items and capacity improvement of the RFID system.

Related Content

Bin Guo, Yunji Liang, Zhu Wang, Zhiwen Yu, Daqing Zhang, Xingshe Zhou. © 2014. 20 pages.
Yunji Liang, Xingshe Zhou, Bin Guo, Zhiwen Yu. © 2014. 31 pages.
Igor Bisio, Alessandro Delfino, Fabio Lavagetto, Mario Marchese. © 2014. 33 pages.
Kobkaew Opasjumruskit, Jesús Expósito, Birgitta König-Ries, Andreas Nauerz, Martin Welsch. © 2014. 22 pages.
Viktoriya Degeler, Alexander Lazovik. © 2014. 23 pages.
Vlasios Kasapakis, Damianos Gavalas. © 2014. 26 pages.
Zhu Wang, Xingshe Zhou, Daqing Zhang, Bin Guo, Zhiwen Yu. © 2014. 18 pages.
Body Bottom