Statistical Characterization of Electromagnetic Wave Propagation in Mine Environments

Abdulkadir C. Yucel; Yang Liu; Hakan Bagci; Eric Michielssen

doi:10.1109/lawp.2013.2293288

Statistical Characterization of Electromagnetic Wave Propagation in Mine Environments

Abdulkadir C. Yucel, Yang Liu, Hakan Bagci, Eric Michielssen

King Abdullah University of Science and Technology

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1602-1605
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	12
DOIs	https://doi.org/10.1109/lawp.2013.2293288
State	Published - 2013

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.

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10.1109/lawp.2013.2293288

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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 {\textcopyright} 2013 IEEE.",

author = "Yucel, {Abdulkadir C.} and Yang Liu and Hakan Bagci and Eric Michielssen",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 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.",

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doi = "10.1109/lawp.2013.2293288",

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T1 - Statistical Characterization of Electromagnetic Wave Propagation in Mine Environments

AU - Yucel, Abdulkadir C.

AU - Liu, Yang

AU - Bagci, Hakan

AU - Michielssen, Eric

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 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.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/594066

UR - http://ieeexplore.ieee.org/document/6677521/

UR - http://www.scopus.com/inward/record.url?scp=84891709465&partnerID=8YFLogxK

U2 - 10.1109/lawp.2013.2293288

DO - 10.1109/lawp.2013.2293288

M3 - Article

SN - 1536-1225

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SP - 1602

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JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

ER -

Statistical Characterization of Electromagnetic Wave Propagation in Mine Environments

Abstract

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