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dc.contributor.authorWei, X. K.
dc.contributor.authorShao, W.
dc.contributor.authorWang, X. H,
dc.contributor.authorWang, B.-Z.
dc.date.accessioned2018-06-18T12:49:19Z
dc.date.available2018-06-18T12:49:19Z
dc.date.issued2018-06cs
dc.identifier.citationRadioengineering. 2018 vol. 27, č. 2, s. 469-474. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/83030
dc.description.abstractIn this paper, an efficient domain decomposition (DD) technique is introduced into the implicit Crank-Nicolson finite-difference time-domain (CN-FDTD) method to analyze the channel characteristics of time reversal (TR) waves. As an unconditionally stable time-marching method, DD-CN-FDTD is suitable to solve the multiscale problem involving special microstructures in a sub-wavelength array. The standard unsplit-field perfectly matched layer, which is implemented with auxiliary differential equations, is derived here to truncate the computational domain of a multipath indoor environment. Furthermore, each sub-matrix is preconditioned by the reverse Cuthill-Mckee scheme for easier lower-upper decomposition. Numerical results of TR wave propagation demonstrate the performance of the proposed method.en
dc.formattextcs
dc.format.extent469-474cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2018/18_02_0469_0474.pdfcs
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectDomain decomposition (DD) techniqueen
dc.subjectfinite-difference time-domain (FDTD) methoden
dc.subjectperfectly matched layer (PML)en
dc.subjecttime-reversal (TR)en
dc.titleDomain Decomposition CN-FDTD with Unsplit-Field PML for Time-Reversed Channel Analysisen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue2cs
dc.coverage.volume27cs
dc.identifier.doi10.13164/re.2018.0469en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International