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High accuracy Location Estimation of a Mobile Tag using One-way UWB Signalling
Date Issued
2012-10-03
Date Available
2012-12-18T16:50:03Z
Abstract
This paper presents a novel algorithm for determining
the 3D location of a Mobile Tag (MT) using wireless Base
Stations (BSs) and Ultra Wide Band (UWB) one-way signaling.
The algorithm is designed for low power, rapid deployment
applications in which the BSs are independent, wireless UWB
transceivers located at known positions and the tags are receiveonly
or transmit-only UWB mobile units. The algorithm utilizes
multi-BS time synchronization and hybrid Time Difference of
Arrival-Time of Flight (TDoA-ToF) localization to achieve high
accuracy tag localization. The algorithm consists of two concurrent
tasks. In task I, the BSs exploit periodic inter-BS transmissions
to obtain high accuracy multi-BS time synchronization.
In task II, a hybrid TDOA-TOF algorithm is used to determine
the location of the MT. The algorithm is based on timestamping,
or control, of packet Time of Emission (ToE) and estimation
of the packet Time of Arrival (ToA). As such, the method is
appropriate for use with, but not limited to, IEEE 802.15.4a
UWB. In simulations assuming a typical 2 cm standard deviation
in ToA estimation error the proposed algorithm was found to
provide a RMS error of 2.1 ps and 4.8 ∗ 10−6 ppm for time offset
and crystal clock offset between BSs respectively; and a RMS
error in MT location estimation of 2.2 cm; which is 36% better
accuracy than the conventional TDoA method.
Sponsorship
Higher Education Authority
Other Sponsorship
HEA PRTLI NEMBES
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2012 IEEE
Subject – LCSH
Ultra-wideband devices
Time measurements
Algorithms
Language
English
Status of Item
Peer reviewed
Part of
Ubiquitous Positioning, Indoor Navigation, and Location Based Service (UPINLBS), 2012 [proceedings]
Conference Details
Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS), Helsinki, Finland, October, 2012
ISBN
978-1-4673-1908-9
This item is made available under a Creative Commons License
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