First- and second-order statistical characterizations of the dynamic body area propagation channel of various bandwidths

Smith, DB; Hanlen, LW; Zhang, J; Miniutti, D; Rodda, D; Gilbert, B

First- and second-order statistical characterizations of the dynamic body area propagation channel of various bandwidths

Smith, DB Hanlen, LW Zhang, J

Miniutti, D Rodda, D Gilbert, B

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Publication Type:: Journal Article
Citation:: Annales des Telecommunications/Annals of Telecommunications, 2011, 66 (3-4), pp. 187 - 203
Issue Date:: 2011-04-01

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Field	Value	Language
dc.contributor.author	Smith, DB	en_US
dc.contributor.author	Hanlen, LW	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Miniutti, D	en_US
dc.contributor.author	Rodda, D	en_US
dc.contributor.author	Gilbert, B	en_US
dc.date.issued	2011-04-01	en_US
dc.identifier.citation	Annales des Telecommunications/Annals of Telecommunications, 2011, 66 (3-4), pp. 187 - 203	en_US
dc.identifier.issn	0003-4347	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116465
dc.description.abstract	Comprehensive statistical characterizations of the dynamic narrowband on-body area and on-body to off-body area channels are presented. These characterizations are based on real-time measurements of the time domain channel response at carrier frequencies near the 900- and 2,400-MHz industrial, scientific, and medical bands and at a carrier frequency near the 402-MHz medical implant communications band. We consider varying amounts of body movement, numerous transmit-receive pair locations on the human body, and various bandwidths. We also consider long periods, i.e., hours of everyday activity (predominantly indoor scenarios), for on-body channel characterization. Various adult human test subjects are used. It is shown, by applying the Akaike information criterion, that the Weibull and Gamma distributions generally fit agglomerates of received signal amplitude data and that in various individual cases the Lognormal distribution provides a good fit. We also characterize fade duration and fade depth with direct matching to second-order temporal statistics. These first- and second-order characterizations have important utility in the design and evaluation of body area communications systems. © 2010 Institut Télécom and Springer-Verlag.	en_US
dc.relation.ispartof	Annales des Telecommunications/Annals of Telecommunications	en_US
dc.relation.isbasedon	10.1007/s12243-010-0233-8	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	First- and second-order statistical characterizations of the dynamic body area propagation channel of various bandwidths	en_US
dc.type	Journal Article
utslib.citation.volume	3-4	en_US
utslib.citation.volume	66	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	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	3-4	en_US
pubs.publication-status	Published	en_US
pubs.volume	66	en_US

Abstract:

Comprehensive statistical characterizations of the dynamic narrowband on-body area and on-body to off-body area channels are presented. These characterizations are based on real-time measurements of the time domain channel response at carrier frequencies near the 900- and 2,400-MHz industrial, scientific, and medical bands and at a carrier frequency near the 402-MHz medical implant communications band. We consider varying amounts of body movement, numerous transmit-receive pair locations on the human body, and various bandwidths. We also consider long periods, i.e., hours of everyday activity (predominantly indoor scenarios), for on-body channel characterization. Various adult human test subjects are used. It is shown, by applying the Akaike information criterion, that the Weibull and Gamma distributions generally fit agglomerates of received signal amplitude data and that in various individual cases the Lognormal distribution provides a good fit. We also characterize fade duration and fade depth with direct matching to second-order temporal statistics. These first- and second-order characterizations have important utility in the design and evaluation of body area communications systems. © 2010 Institut Télécom and Springer-Verlag.

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http://hdl.handle.net/10453/116465