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5 results for “directional antenna”
HALOC Dataset | WiFi CSI-based Long-Range Person Localization Using Directional Antennas
<p><strong>WiFi CSI-based Long-Range Person Localization Using Directional Antennas</strong></p> <p>This repository contains the HAllway LOCalization (HALOC) dataset and WiFi system CAD files as proposed in <a href="https://openreview.net/forum?id=AOJFcEh5Eb" target="_blank" rel="noopener">[1]</a>.</p> <p><strong>PyTroch Dataloader</strong></p> <p>A minimal PyTorch dataloader for the HALOC dataset is provided at: <a href="https://github.com/StrohmayerJ/HALOC" target="_blank" rel="noopener">https://github.com/StrohmayerJ/HALOC</a></p> <p><strong>Dataset Description</strong></p> <p>The HALOC dataset comprises six sequences (in .csv format) of synchronized WiFi Channel State Information (CSI) and 3D position labels. Each row in a given .csv file represents a single WiFi packet captured via ESP-IDF, with CSI and 3D coordinates stored in the "data" and ("x", "y", "z") fields, respectively.</p> <p>The sequences are divided into training, validation, and test subsets as follows:</p> <table> <tbody> <tr> <td><strong>Subset</strong></td> <td><strong>Sequences</strong></td> </tr> <tr> <td>Training</td> <td>0.csv, 1.csv, 2.csv and 3.csv</td> </tr> <tr> <td>Validation</td> <td>4.csv</td> </tr> <tr> <td>Test</td> <td>5.csv</td> </tr> </tbody> </table> <p> </p> <p><strong>WiFi System CAD files</strong></p> <p>We provide CAD files for the 3D printable parts of the proposed WiFi system consisting of the main housing (housing.stl), the lid (lid.stl), and the carrier board (carrier.stl) featuring mounting points for the Nvidia Jetson Orin Nano and the ESP32-S3-DevKitC-1 module. </p> <p><strong>Download and Use</strong><br>This data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1].</p> <p>[1] Strohmayer, J., and Kampel, M. (2024). “WiFi CSI-based Long-Range Person Localization Using Directional Antennas”, <em>The Second Tiny Papers Track at ICLR 2024</em>, May 2024, Vienna, Austria. <a href="https://openreview.net/forum?id=AOJFcEh5Eb" target="_blank" rel="noopener">https://openreview.net/forum?id=AOJFcEh5Eb</a></p> <p>BibTeX citation:</p> <pre>@inproceedings{<br>strohmayer2024wifi,<br>title={WiFi {CSI}-based Long-Range Person Localization Using Directional Antennas},<br>author={Julian Strohmayer and Martin Kampel},<br>booktitle={The Second Tiny Papers Track at ICLR 2024},<br>year={2024},<br>url={https://openreview.net/forum?id=AOJFcEh5Eb}<br>}</pre>
Source Code and Simulation Results: Chiral and directional optical emission from a dipole source coupled to a helical plasmonic antenna
<h3>Summary</h3> <p>This publication supplements the article "Chiral and directional optical emission from a dipole source coupled to a helical plasmonic antenna" with tabulated data and Matlab code that allows the reproduction of the results. Within the article, the chiral behavior of single and double plasmonic nano antennas made from silver is numerically investigated with a focus on the coupling of a linear polarized dipole as an excitation source to the helix.</p> <h3>Simulation Setup - FEM Simulations</h3> <p>The script "run_wavlengthscan.m" allows to reproduce all simulations of the article. It can be chosen between the single and double helices, by specifying the keys parameter "keys.doppelhelix" where 0 gives a single and 1 a double helix. The number of turns can be specified by choosing "keys.case". The dipol is located within a 20nm thick hBN substrate layer, on glass (BK7). Results of the Purcell enhancement can be plotted using the scripts "display_results_single_helix.m" and "display_results_doublehelix.m" in the folder "results". The far-field plots can be reproduced using the scripts "display_farfiel_polarization_single_helix.m" and "display_farfiel_polarization_double_helix.m" of the folder "FunctionsAndScripts".</p> <p>The template for the mesh is contained in the folder "generate_grid_file", where the parameters of the helix (for example: radius, tube radius, and pitch height) can be modified.</p> <p>Within the folder "project3D" all required .jcm files are stored. Copy the "grid.jcm" file with the geometry of interest to this folder to perform simulations.</p> <p>All required keys parameters for the JCM template files (.jcmt, jcmpt) are set within the functions "set_numerical_parameter.m" and "set_physical_parameters.m", contained in the folder "FunctionsAndScripts". Therein, the function "set_sources.m" specifies the parameters for the dipole excitation, such as the position, and the strength (equivalent to the polarization).</p> <h3>Semi-Analytical Model</h3> <p>The Jupyter notebook "Semi_Analytical_Plasmonic_Helix.ipynb" contains the commented Python script for the semi-analytical design tool used to obtain far-field radiation patterns of the single helix. This semi-analytical design tool is based on an analytical model developed in [4]. The script can be divided into three parts. First, the single helix is defined, and a linear wavelength scaling law [5] is used to determine the illuminating wavelengths at which Fabry-Pérot resonances occur. Second, the overlap integral between the mode current on the helix and the incident electric field is evaluated for a given direction of incident light. Thirdly, the direction of incidence is varied to obtain the far-field radiation patterns. The script allows for the radiation patterns to be exported as a .csv file. Alternatively, the radiation patterns can be plotted directly using the provided single_plot functions.</p> <h3>Material</h3> <p>The material data has been taken from the <a href="https://refractiveindex.info/" target="_blank" rel="noopener">refractiveindex.info</a> database. For silver the data is taken from tabulated data from Johnson and Christy [1] . The dispersion relation for hBN comes from [2] and tabulated data for glass (BK7) from [3]. The MATLAB script "material_properties_plot.m" plots the material fits above the wavelengths of interest. The required tabulated data is given in the folder "material_data".</p> <p>With 'material_properties_plot.m' the fits to the material data can be reproduced and plotted.</p> <h3>Usage</h3> <p>The .zip folder Helix_FEM contains all data and scripts to reproduce the plots from the 3D FEM simulations.</p> <p>The Jupyter Notebook Semi_Analytical_Plasmonic_Helix reprouces the results from the semi-analytical model.</p> <h3>Requirements</h3> <ul> <li>JCMsuite (at least 5.4.0)</li> <li>MATLAB (tested with version R2023b)</li> <li>Python (tested with Version 3.10.9)</li> <li>Jupyter Notebook (tested with 6.5.2) </li> </ul> <p>To run the simulations with JCMsuite you must replace corresponding placeholders with a path to your installation of JCMsuite. Free trial licenses are available, please refer to the homepage of <a href="https://jcmwave.com/">JCMwave</a>.</p> <h3>References</h3> <p>[1] P. B. Johnson and R.-W. Christy, “Optical constants of the noble metals,” Phys. Rev. B 6, 4370 (1972).</p> <p>[2] S.-Y. Lee, T.-Y. Jeong, S. Jung, and K.-J. Yee, “Refractive index dispersion of hexagonal boron nitride in the visible and near-infrared,” Phys. Status Solidi B 256, 1800417 (2019).</p> <p>[3] “SCHOTT Zemax catalogue 2017-01-20b,” (2017).</p> <div>[4] K. Höflich et al., "Resonant behavior of a single plasmonic helix." Optica 6, 1098(2019).</div> <div> </div> <div>[5]L. Novotny, "Effective wavelength scaling for optical antennas", Phys. Rev. Lett. 98,266802 (2007).</div>
FrGURI> 1.-it-e, Scatopse g11amensis: a, wing of female X 34; b, clasper of male X 225; c, hypopygium of male, ventral aspect X 45 (a, mesosome, c, clasper); d, mesosome of male, ventral aspect X 225; e, terminalia of female, ventral aspect X 225. f, g, Psectrosciara breviconiis: f, wing of female X 45; g, antennae of female X 225. h, Culicoides guttifer deMeijere, var. histrio, inner processes of male; caudal end directed downward X 225. i, Eukraiohelea inusitata, wing of female X 24. j, Smittia insitlsa, ventral aspect of half of hypopygium X 225. k, Chironomus insolens, ventral aspect of half of hypopygium X 112. 1, Chironomus eximiiis, latero-ventral aspect of half of hypopygium X 225 in Some New Species Of Nemocerous Diptera From Guam
FrGURI> 1.-it-e, Scatopse g11amensis: a, wing of female X 34; b, clasper of male X 225; c, hypopygium of male, ventral aspect X 45 (a, mesosome, c, clasper); d, mesosome of male, ventral aspect X 225; e, terminalia of female, ventral aspect X 225. f, g, Psectrosciara breviconiis: f, wing of female X 45; g, antennae of female X 225. h, Culicoides guttifer deMeijere, var. histrio, inner processes of male; caudal end directed downward X 225. i, Eukraiohelea inusitata, wing of female X 24. j, Smittia insitlsa, ventral aspect of half of hypopygium X 225. k, Chironomus insolens, ventral aspect of half of hypopygium X 112. 1, Chironomus eximiiis, latero-ventral aspect of half of hypopygium X 225
A Novel Equivalent Transmission-Line Model for Efficient Analysis of Huygens Source Antennas Embedded inside Low-Loss Multilayer EBG Superstrates for Directivity Enhancement
Open the record for dataset details and reuse information.
Printed Dual-Frequency Directional Antenna Loaded with Dual-Parasitic Strip
<p>Dataset 1-23 are the raw data from CST studio suite analysis software (CST). A series of simulations are performed on the MS-to-CPS transition, the dual dipole element, the reflectors, and the parasitic strip to determine the optimal antenna design. Dataset 24-28 are the raw data from the measured results whose are compared with the simulated results of the optimal antenna design.</p> <p><strong>Additional Supporting Information</strong></p> <p>Dataset 1 and 2 are the raw data of Figure 2.</p> <p>Dataset 3 is the raw data of Figure 3.</p> <p>Dataset 4, 5, and 6 are the raw data of Figure 5.</p> <p>Dataset 7 is the raw data of Figure 6.</p> <p>Dataset 8 is the raw data of Figure 9.</p> <p>Dataset 9 is the raw data of Figure 10.</p> <p>Dataset 10 is the raw data of Figure 11.</p> <p>Dataset 11 and 12 are the raw data of Figure 12.</p> <p>Dataset 13 and 14 are the raw data of Figure 13.</p> <p>Dataset 15 and 16 are the raw data of Figure 14.</p> <p>Dataset 17 and 18 are the raw data of Figure 15.</p> <p>Dataset 19 and 20 are the raw data of Figure 16.</p> <p>Dataset 21 is the raw data of Figure 17.</p> <p>Dataset 22 is the raw data of Figure 18.</p> <p>Dataset 23 is the raw data of Figure 19.</p> <p>Dataset 24 is the raw data of Figure 21.</p> <p>Dataset 25, 26, 27, and 28 are the raw data of Figure 22.</p>
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