Back to Search
Start Over
Multiobjective Optimization Design for Electrically Large Coverage: Fragment-Type Near-Field\/Far-Field UHF RFID Reader Antenna Design.
- Source :
- IEEE Antennas & Propagation Magazine; Feb2018, Vol. 60 Issue 1, p27-37, 11p
- Publication Year :
- 2018
-
Abstract
- The design of an ultrahigh-frequency (UHF) radio-frequency identification (RFID) reader antenna covering an electrically large near-field area is challenging for near-field UHF RFID applications. In such a design, magnetic field distribution on a large coverage area is required to be as uniform as possible. For some specific UHF near-field RFID applications, given radiation pattern characteristics are expected. A fragment-type wire structure is quite suitable for these demands because uniform magnetic field distribution and given patterns could be generated through optimizing the fragmented wires in a designated electrically large area to obtain corresponding current distribution. In this article, the concept of a fragment-type structure as well as some design guidelines are reviewed and summarized. Then, two omnidirectional fragment-type wire antennas with different cell size and two directional fragment-type wire antennas are designed. Both simulation and experiment results show that there is no reading null within an electrically large near-field zone having a perimeter of four operating wavelengths at 915 MHz (i.e., 320 mm x 320 mm). The omnidirectional designs are promising in the applications of UHF near-field RFID tag detection in self-confined volumes, and the directional designs are potential in the systems of UHF near-field/far-field RFID. [ABSTRACT FROM PUBLISHER]
- Subjects :
- UHF antennas
RADIO frequency identification systems
ANTENNA design
Subjects
Details
- Language :
- English
- ISSN :
- 10459243
- Volume :
- 60
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- IEEE Antennas & Propagation Magazine
- Publication Type :
- Academic Journal
- Accession number :
- 127928900
- Full Text :
- https://doi.org/10.1109/MAP.2017.2774140