MASTER OF SCIENCE THESIS DEFENSE BY: Di Li
When: Friday,
October 21, 2016
3:00 PM
-
5:00 PM
Where: > See description for location
Cost: Free
Description: TOPIC: WIRELESS INDOOR POSITIONING BY NOISE BASED ON ULTRA-WIDEBAND SIGNALS
LOCATION: Science & Engineering Building (Group II), Room 212
ABSTRACT:
Many in-door positioning systems based on Ultra-wideband (UWB) wireless have been developed for improving the positioning accuracy. However, most of them are short pulses based UWB, which is complicated and power hungry. These deficiencies limited their applications. In this thesis a new way of in-door positioning based on ultra-wideband noise signals is proposed. This system is confirmed theoretically and proof-of-concept measurement. A miniaturized broadband minimized UWB antenna (<15×15mm) for the proposed positioning system has been designed, fabricated and measured.
NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public.
Advisor: Dr. Yifei Li
Committee Members: Dr. Dayalan Kasilingam and Dr. Honggang Wang, Department of Electrical & Computer Engineering and Dr. Haiping Xu, Department of Computer & Information Science
*For further information, please contact Dr. Yifei Li at 508.999.8841, or via email at yli2@umassd.edu.
LOCATION: Science & Engineering Building (Group II), Room 212
ABSTRACT:
Many in-door positioning systems based on Ultra-wideband (UWB) wireless have been developed for improving the positioning accuracy. However, most of them are short pulses based UWB, which is complicated and power hungry. These deficiencies limited their applications. In this thesis a new way of in-door positioning based on ultra-wideband noise signals is proposed. This system is confirmed theoretically and proof-of-concept measurement. A miniaturized broadband minimized UWB antenna (<15×15mm) for the proposed positioning system has been designed, fabricated and measured.
NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public.
Advisor: Dr. Yifei Li
Committee Members: Dr. Dayalan Kasilingam and Dr. Honggang Wang, Department of Electrical & Computer Engineering and Dr. Haiping Xu, Department of Computer & Information Science
*For further information, please contact Dr. Yifei Li at 508.999.8841, or via email at yli2@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering