A cost-effective design approach for integrated positioning system

Kong, X; Liu, L; Lowe, D

A cost-effective design approach for integrated positioning system

Kong, X

Liu, L Lowe, D

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Publication Type:: Conference Proceeding
Citation:: 2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011, 2011
Issue Date:: 2011-07-01

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Field	Value	Language
dc.contributor.author	Kong, X https://orcid.org/0000-0001-7855-858X	en_US
dc.contributor.author	Liu, L	en_US
dc.contributor.author	Lowe, D	en_US
dc.date.issued	2011-07-01	en_US
dc.identifier.citation	2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011, 2011	en_US
dc.identifier.isbn	9781457700057	en_US
dc.identifier.uri	http://hdl.handle.net/10453/19312
dc.description.abstract	This paper presents an approach to the design of a low cost positioning system aided by inertial sensors. Low cost inertial sensors can be used in the positioning system by applying a new sensor selection criterion and an integration algorithm. The integrated navigation system is designed using a positioning error estimator. When low precision inertial sensors are selected, the design is able to quantify GPS errors and inertial sensors' position data using their frequency domain attributes. The estimator design approach is demonstrated using system simulations and experiments. © 2011 IEEE.	en_US
dc.relation.ispartof	2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011	en_US
dc.relation.isbasedon	10.1109/ICMSAO.2011.5775580	en_US
dc.title	A cost-effective design approach for integrated positioning system	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Kuala Lumpur, Malaysia	en_US
dc.location.activity	Guilin, China
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper presents an approach to the design of a low cost positioning system aided by inertial sensors. Low cost inertial sensors can be used in the positioning system by applying a new sensor selection criterion and an integration algorithm. The integrated navigation system is designed using a positioning error estimator. When low precision inertial sensors are selected, the design is able to quantify GPS errors and inertial sensors' position data using their frequency domain attributes. The estimator design approach is demonstrated using system simulations and experiments. © 2011 IEEE.

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http://hdl.handle.net/10453/19312