Statistical Characterization of Electromagnetic Wave Propagation in Mine Environments

Handle URI:
http://hdl.handle.net/10754/594066
Title:
Statistical Characterization of Electromagnetic Wave Propagation in Mine Environments
Authors:
Yucel, Abdulkadir C.; Liu, Yang; Bagci, Hakan; Michielssen, Eric
Abstract:
A computational framework for statistically characterizing electromagnetic (EM) wave propagation through mine tunnels and galleries is presented. The framework combines a multi-element probabilistic collocation method with a full-wave fast Fourier transform and fast multipole method accelerated surface integral equation-based EM simulator to statistically characterize fields from wireless transmitters in complex mine environments. 1536-1225 © 2013 IEEE.
KAUST Department:
Center for Uncertainty Quantification in Computational Science and Engineering (SRI-UQ); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Yucel AC, Liu Y, Bagci H, Michielssen E (2013) Statistical Characterization of Electromagnetic Wave Propagation in Mine Environments. IEEE Antennas and Wireless Propagation Letters 12: 1602–1605. Available: http://dx.doi.org/10.1109/lawp.2013.2293288.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Antennas and Wireless Propagation Letters
Issue Date:
2013
DOI:
10.1109/lawp.2013.2293288
Type:
Article
ISSN:
1536-1225; 1548-5757
Sponsors:
This work was supported in part by the AFOSR/NSSEFF Program under Award FA9550-10-1-0180 and the National Science Foundation (NSF) under Grant CCF 1116082.
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorYucel, Abdulkadir C.en
dc.contributor.authorLiu, Yangen
dc.contributor.authorBagci, Hakanen
dc.contributor.authorMichielssen, Ericen
dc.date.accessioned2016-01-19T13:20:44Zen
dc.date.available2016-01-19T13:20:44Zen
dc.date.issued2013en
dc.identifier.citationYucel AC, Liu Y, Bagci H, Michielssen E (2013) Statistical Characterization of Electromagnetic Wave Propagation in Mine Environments. IEEE Antennas and Wireless Propagation Letters 12: 1602–1605. Available: http://dx.doi.org/10.1109/lawp.2013.2293288.en
dc.identifier.issn1536-1225en
dc.identifier.issn1548-5757en
dc.identifier.doi10.1109/lawp.2013.2293288en
dc.identifier.urihttp://hdl.handle.net/10754/594066en
dc.description.abstractA computational framework for statistically characterizing electromagnetic (EM) wave propagation through mine tunnels and galleries is presented. The framework combines a multi-element probabilistic collocation method with a full-wave fast Fourier transform and fast multipole method accelerated surface integral equation-based EM simulator to statistically characterize fields from wireless transmitters in complex mine environments. 1536-1225 © 2013 IEEE.en
dc.description.sponsorshipThis work was supported in part by the AFOSR/NSSEFF Program under Award FA9550-10-1-0180 and the National Science Foundation (NSF) under Grant CCF 1116082.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectFrequency-domain analysisen
dc.subjectIntegral equationsen
dc.subjectMulti-element (ME)en
dc.subjectProbabilistic collocation (PC)en
dc.subjectTerms - Fast Fourier transform and fast multipole method (FMM-FFT)en
dc.subjectUncertainty quantificationen
dc.subjectwave propagation in mine environmentsen
dc.titleStatistical Characterization of Electromagnetic Wave Propagation in Mine Environmentsen
dc.typeArticleen
dc.contributor.departmentCenter for Uncertainty Quantification in Computational Science and Engineering (SRI-UQ)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Antennas and Wireless Propagation Lettersen
dc.contributor.institutionDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, United Statesen
kaust.authorMichielssen, Ericen
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