| Start Date: | 3/14/2014 | Start Time: | 10:00 AM |
| End Date: | 3/14/2014 | End Time: | 11:30 AM |
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Event Description
Title: Compact Reconfigurable Antennas for Wireless Systems and Wearable Applications
Advisor: Dr. Kapil Dandekar
Date: Friday, March 14, 2014
Time: 10:00 a.m.
Location: ECE Conference Room 302, 3rd Floor, Bossone Research Enterprise Center
Abstract
The fast growth of wireless communications has driven the necessity of exploiting technological solutions for the needs of faster connectivity. Reconfigurable antennas (RAs) technology is one of the hardware solutions developed to enhance the connectivity between wireless devices. These new class of radiating elements are able to electrically adapt their physical characteristics in response to the environmental changes, users density and location. The aim of this work is for the design, prototyping and system application of compact RAs for wireless base stations and mobile devices. Planar and metamaterial topologies will be applied to design compact and miniaturized pattern-reconfigurable antennas.
Similarly for electrically reconfigurable antennas, characteristics such as input impedance and radiation properties of an antenna can be changed through physical deformation of its geometry. The second task of this PhD proposal focuses on the design and characterization of purely textile wireless sensors for wearable applications. First, through the study of the radio frequency characteristics, the best knitting technique will be identified to preserve the electrical performance of the conductive material required from the standards in wireless communications. Second, Radio-Frequency Identification (RFID) technology will be applied for designing powerless fabric-based strain sensors through the use of novel inductively-coupled RFID microchips. By combining these two strategies, the final aim is to implement these powerless sensors in wearable biomedical monitoring systems. |
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Location:
ECE Conference Room 302, 3rd Floor, Bossone Research Enterprise Center |
Audience:
Current StudentsFacultyStaff |
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