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High-precision robust broadband ultrasonic location and orientation estimation

Author(s)
Gonzalez-Hernandez, Juan  
Bleakley, Chris J.  
Uri
http://hdl.handle.net/10197/1892
Date Issued
2009-10-21
Date Available
2010-03-29T15:18:10Z
Abstract
This paper presents an indoor broadband ultrasonic system for estimation of a mobile device’s 3-D location and three-axis orientation using beacons. It presents the first implementation and characterization of a real frequency hopping spread spectrum-based ultrasonic positioning system, a novel application of uniform circular array angle of arrival estimation techniques to indoor location-orientation estimation and a novel hybrid algorithm for location-orientation estimation. The performance of the system was assessed experimentally. The system has been shown to provide better accuracy, robustness to noise and multipath than other previously reported indoor ultrasonic location or orientation estimation systems with comparable range in the typical office environment tested. The prototype provided location estimates with an error of less than 1.5 cm and and error of less than 4.5 in the yaw, 3 in the pitch and 3.5 in the roll, in 95% of cases.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Journal of Selected Topics in Signal Processing
Volume
3
Issue
5
Start Page
832
End Page
844
Copyright (Published Version)
2009 IEEE
Subjects

Angle of arrival

Orientation estimatio...

Location estimation

Time of arrival

Ultrasound

Subject – LCSH
Mobile computing
Geospatial data
Ubiquitous computing
Ultrasonics
DOI
10.1109/JSTSP.2009.2027795
Language
English
Status of Item
Peer reviewed
ISSN
1932-4553
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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high_precision_robust_broadband_ultrasonic_location_and_orientation_estimation.pdf

Size

1.76 MB

Format

Adobe PDF

Checksum (MD5)

7df8f855b12f7dc5e4b5c9d344b673a8

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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