Indoor 2.4 GHz microwave propagation study using 3D FDTD approach

Sosa, Julio C.; Coss, S.; Rodriguez, Aldo Bonilla; Rodriguez, Luciano; Galaz, M.; Ramírez, Ericka Molina; Enciso-Aguilar, M.

doi:10.1049/el.2011.2701

Cited by 14 publications

(8 citation statements)

References 1 publication

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Section: Methodology Of the Fdtdmentioning

confidence: 99%

“…Within the calculation region that are being analyzed exist different materials with specific electric properties that can be classified in terms of their electric conductivity according to Ref. [17]. Figure 1 shows the distribution region where each object and material is represented for its electric characteristics by a different color.…”

Section: The Modeling Of Calculation Regionmentioning

confidence: 99%

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Full 3D‐FDTD analysis and validation for indoor propagation at 2.45 GHz

Rodríguez-Sánchez

Enciso-Aguilar

Pedroza

et al. 2016

Micro & Optical Tech Letters

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Full finite differences time domain (FDTD) method is implemented using a WiFi Access Point into common office environment at 2.45 GHz. The model allows observing the electromagnetic phenomena when the wave impignes over typical objects. FDTD results has been obtained demonstrate good concordance with measurements at different heights. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:2880–2884, 2016

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Section: Methodology Of the Fdtdmentioning

confidence: 99%

Section: The Modeling Of Calculation Regionmentioning

confidence: 99%

Full 3D‐FDTD analysis and validation for indoor propagation at 2.45 GHz

Rodríguez-Sánchez

Enciso-Aguilar

Pedroza

et al. 2016

Micro & Optical Tech Letters

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“…Generally, accurate results are obtained when the computational space is made to be at least one-tenth of the shortest wavelength under consideration. Previous researchers have used FDTD to simulate entire rooms, while looking at the effects of target detection in high clutter environments 14,15 .…”

Section: Rcs Characterization Methodologymentioning

confidence: 99%

SVM based target classification using RCS feature vectors

Bufler

Narayanan

Dogaru

2015

Radar Sensor Technology XIX; And Active and Passive Signatures VI

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This paper investigates the application of SVM (Support Vector Machines) for the classification of stationary human targets and indoor clutter via spectral features. Applying Finite Difference Time Domain (FDTD) techniques allows us to examine the radar cross section (RCS) of humans and indoor clutter objects by utilizing different types of computer models. FDTD allows for the spectral characteristics to be acquired over a wide range of frequencies, polarizations, aspect angles, and materials. The acquired target and clutter RCS spectral characteristics are then investigated in terms of their potential for target classification using SVMs. Based upon variables such as frequency and polarization, a SVM classifier can be trained to classify unknown targets as a human or clutter. Furthermore, the application of feature selection is applied to the spectral characteristics to determine the SVM classification accuracy of a reduced dataset. Classification accuracies of nearly 90% are achieved using radial and polynomial kernels.

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“…In this numerical experiment, we propagate Wi-Fi waves (ƒ = 2 45 GHz) in an indoor setup of two contiguous offices, based on the experiments reported in [23]. We characterised the different materials that are usually found in office indoors such as metals, wood, glass, and plastics, by their conductivity, permeability, and permittivity.…”

Section: Indoor Propagationmentioning

confidence: 99%

Analysis of Electromagnetic Propagation from MHz to THz with a Memory-Optimised CPML-FDTD Algorithm

Rodríguez-Sánchez

Couder-Castañeda

Hernández-Gómez

et al. 2018

International Journal of Antennas and Propagation

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FDTD method opened a fertile research area on the numerical analysis of electromagnetic phenomena under a wide range of media and propagation conditions, providing an extensive analysis of electromagnetic behaviour like propagation, reflection, refraction, and multitrajectory phenomena. In this paper, we present an optimised FDTD-CPML algorithm, focused in saving memory while increasing the performance of the algorithm. We particularly implement FDTD-CPML method at high frequency bands, used in several telecommunications applications as well as in nanoelectromagnetism. We show an analysis of the performance of the algorithm in single and double precision, as well as a stability of the algorithm analysis, from where we conclude that the implemented CPML ABC constitutes a robust choice in terms of precision and accuracy for the high frequencies herein considered. It is important to recall that the CPML ABC parameters provided in this paper are fixed for the tested range of frequencies, that is, from MHz to THz.

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Indoor 2.4 GHz microwave propagation study using 3D FDTD approach

Cited by 14 publications

References 1 publication

Full 3D‐FDTD analysis and validation for indoor propagation at 2.45 GHz

Full 3D‐FDTD analysis and validation for indoor propagation at 2.45 GHz

SVM based target classification using RCS feature vectors

Analysis of Electromagnetic Propagation from MHz to THz with a Memory-Optimised CPML-FDTD Algorithm

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