Derivation of CRLB for Wireless Capsule Endoscope Localization Using Received Signal Strength

Ara, P; Yu, K; Cheng, S; Dutkiewicz, E; Heimlich, MC

Derivation of CRLB for Wireless Capsule Endoscope Localization Using Received Signal Strength

Ara, P Yu, K Cheng, S Dutkiewicz, E

Heimlich, MC

Permalink

Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2016, 16 (24), pp. 9064 - 9074
Issue Date:: 2016-12-15

Closed Access

	Filename	Description	Size
	07605526.pdf	Published Version	2.82 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Ara, P	en_US
dc.contributor.author	Yu, K	en_US
dc.contributor.author	Cheng, S	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.contributor.author	Heimlich, MC	en_US
dc.date.issued	2016-12-15	en_US
dc.identifier.citation	IEEE Sensors Journal, 2016, 16 (24), pp. 9064 - 9074	en_US
dc.identifier.issn	1530-437X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122869
dc.description.abstract	© 2016 IEEE. This paper presents a theoretical analysis for location estimation of a wireless capsule endoscope (WCE) in the small-intestine region. Under three different shadowing scenarios by assuming standard deviation of the shadowing with the constant variance, parameter-dependent variance, or correlated and parameter-dependent variance, analytical formulas are derived for the Cramér-Rao lower bound (CRLB) for capsule positioning when distance and azimuth angle measurements are employed to estimate the location of the capsule. The CRLB analysis can be employed to quantify the best achievable location estimation performance. We also present some numerical results to show the CRLB for three scenarios. The results show that in the most realistic scenario, when the shadowing is spatially correlated and distance dependent and the standard deviation of noise is 7 dB, the maximum square root of CRLB is 3.8 mm. Moreover, the square root of CRLB experiences its minimum value of 2 mm, when the capsule is away from its first location about half of the capsule length. Overall, the result of this paper suggests that it is possible to use received signal strength such as measured by a radar system for location estimation of a WCE.	en_US
dc.relation.ispartof	IEEE Sensors Journal	en_US
dc.relation.isbasedon	10.1109/JSEN.2016.2620112	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Analytical Chemistry	en_US
dc.title	Derivation of CRLB for Wireless Capsule Endoscope Localization Using Received Signal Strength	en_US
dc.type	Journal Article
utslib.citation.volume	24	en_US
utslib.citation.volume	16	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0205 Optical Physics	en_US
utslib.for	0913 Mechanical Engineering	en_US
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 - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.issue	24	en_US
pubs.publication-status	Published	en_US
pubs.volume	16	en_US

Abstract:

© 2016 IEEE. This paper presents a theoretical analysis for location estimation of a wireless capsule endoscope (WCE) in the small-intestine region. Under three different shadowing scenarios by assuming standard deviation of the shadowing with the constant variance, parameter-dependent variance, or correlated and parameter-dependent variance, analytical formulas are derived for the Cramér-Rao lower bound (CRLB) for capsule positioning when distance and azimuth angle measurements are employed to estimate the location of the capsule. The CRLB analysis can be employed to quantify the best achievable location estimation performance. We also present some numerical results to show the CRLB for three scenarios. The results show that in the most realistic scenario, when the shadowing is spatially correlated and distance dependent and the standard deviation of noise is 7 dB, the maximum square root of CRLB is 3.8 mm. Moreover, the square root of CRLB experiences its minimum value of 2 mm, when the capsule is away from its first location about half of the capsule length. Overall, the result of this paper suggests that it is possible to use received signal strength such as measured by a radar system for location estimation of a WCE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/122869