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Multi-Tag Access for a High Precision Ultra-Wideband Localization System

Date Issued
August 1, 2012
Author(s)
Rowe, Nathan Carl  
Advisor(s)
Aly Fathy
Additional Advisor(s)
Paul Crilly
Marshall Pace
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/34793
Abstract

Ultra-Wideband (UWB) wireless positioning systems have many advantages for track- ing and locating items in indoor environments. Surgical navigation and industrial process control are potential applications for high accuracy UWB localization systems with millimeter or sub-millimeter accuracy. I present improvements made to an existing high accuracy, multi-tag, UWB localization system. The goal of this thesis was to improve the multi-tag performance of this system while maintaining the high localization accuracy, and to utilize the UWB system for digital communications allowing the existing narrowband 2.4 GHz transceiver to be eliminated.


This thesis presents a proof-of-concept for a multi-tag, UWB localization system utilizing orthogonal time hopping multiple access (OTHMA). Asynchronous transmit- only UWB digital communication allows identification of tags without the use of a narrowband control channel, and time di↵erence of arrival (TDOA) accomplishes localization. A digital sampling circuit is used for both localization and digital communication. I address the inherent challenge of collisions in an asynchronous transmit-only system while maintaining high accuracy and high update rates. An experimental system was developed consisting of two base stations and two tags allowing measurement of 1-D localization accuracy along with system update rates. The experimental results for localization accuracy were equivalent to results from the existing system while update rates were improved by greater than 50%.

Subjects

Ultra Wide Band

Localization

Multi-Tag

Positioning

Disciplines
Systems and Communications
Degree
Master of Science
Major
Electrical Engineering
Embargo Date
December 1, 2011
File(s)
Thumbnail Image
Name

nathan_thesis_final.pdf

Size

3.16 MB

Format

Adobe PDF

Checksum (MD5)

42436635b4951406debf42ae6fbf7373


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