DOI: 10.5281/zenodo.13981779
title: RF Holography and Perception in Static Environments: Dataset

description: Four distinct datasets are provided for microwave imaging purposes.





Ray-tracing_human_body.zip contains the ray-tracing simulation results for a male body model, while Ray-tracing_human_body_ground.zip includes the same simulation with an additional ground plane. The detailed data files and formats are as follows:



[Filename*].obj: Wavefront .obj file, 3D model used for ray tracing simulation.

[Filename*]_EM.mat: containing ray-tracing results, specifying the received electric fields at each receiver induced by transmitters at each frequency. It contains the following arrays



freq : simulation frequencies

results : a vector of structures, each containing the attributes {‘E’, ‘freq’}. The length of the vector corresponds to the length of ‘freq’, and each ‘E’ is a 3-dimensional array of size (num_of_Tx, num_of_Rx, 3). This array stores the 𝑥-, 𝑦-, and 𝑧-components of the electric fields at each receiver induced by transmitters.

tx : 𝑥-, 𝑦- and 𝑧-coordinates of each transmitter with a size of (3, num_of_Tx)

rx : 𝑥-, 𝑦- and 𝑧-coordinates of each receive with a size of (3, num_of_Rx)



aimg_[Filename*].mat: MATLAB imaging data generated by the back-projection algorithm, where in particular



aimg.X : 𝑥-positions of the imaging domain

aimg.Y : 𝑦-positions of the imaging domain

aimg.Z : 𝑧-positions of the imaging domain

aimg.fieldnames : names of the included different Cartesian vector components of the imaged sources, e.g., aimg.fieldnames = {‘𝑥’, ‘𝑦’, ‘𝑧’}

aimg.x : 𝑥-polarization of the polarimetric imaging results

aimg.y : 𝑦-polarization of the polarimetric imaging results

aimg.z : 𝑧-polarization of the polarimetric imaging results







FEKO_Simulations.zip includes two full-wave simulations conducted with FEKO. One simulation features three perfectly electrically conducting (PEC) spheres illuminated by a Hertzian dipole, while the other involves a PEC plate illuminated by a horn antenna.



[Filename*].efe: ASCII file containing simulated near-field data from the full wave simulation data FEKO, where the key parameters such as frequencies, measured positions, real and imaginary components of the electric fields are included.

aimg_[Filename*].mat: MATLAB imaging data generated by the algorithm introduced in [1], [2], and HOLDEN Deliverable D3.2, where in particular



aimg.X : 𝑥-positions of the imaging domain

aimg.Y : 𝑦-positions of the imaging domain

aimg.Z : 𝑧-positions of the imaging domain

aimg.fieldnames : names of the included different Cartesian vector components of the imaged sources, e.g., aimg.fieldnames = {‘𝑥’, ‘𝑦’, ‘𝑧’}

aimg.x : 𝑥-polarization of the polarimetric imaging results

aimg.y : 𝑦-polarization of the polarimetric imaging results

aimg.z : 𝑧-polarization of the polarimetric imaging results







Measurements_UAV_AnechoicChamber.zip provides measurements of a UAV collected at the Chair of High-Frequency Engineering, Technical University of Munich.



[Filename*].nsiascii : containing near-field measurement data, typically S12 or S21 parameters in dual-polarization from a vector network analyzer (VNA). The frequency information is embedded in the filename, e.g., 6000000000.nsiascii indicates a frequency of 6 GHz. Other parameters, such as probe positions, VNA setups, as well as the amplitude and phase of the measured signals, are also included in this file.

aimg_[Filename*].mat: MATLAB imaging data generated by the algorithm introduced in [1], [2], and HOLDEN Deliverable D3.2, where in particular



aimg.X : 𝑥-positions of the imaging domain

aimg.Y : 𝑦-positions of the imaging domain

aimg.Z : 𝑧-positions of the imaging domain

aimg.fieldnames : names of the included different Cartesian vector components of the imaged sources, e.g., aimg.fieldnames = {‘𝑥’, ‘𝑦’, ‘𝑧’}

aimg.x : 𝑥-polarization of the polarimetric imaging results

aimg.y : 𝑦-polarization of the polarimetric imaging results

aimg.z : 𝑧-polarization of the polarimetric imaging results







TUM_HFT_WiFi_Mannequins_DATASET.zip contains three measurements from a planar office scanner system installed on a side wall of a typical office room, also at the Chair of High-Frequency Engineering, Technical University of Munich. One video file and one PowerPoint presentation illustrating the measurement campaign are provided. The three different measurements belong to three different arrangements of plastic/wooden mannequins covered with zinc-aluminum spray, where either none one or two mannequins are present within the office.



mannequin_[Filename*].mat: Continuous wave measurement data from a planar scanner. The data is stored in MATLAB data format. The transmission and reflection coefficients between a fixed transmit antenna and a moving (on the planar scanner) antenna, both vertically polarized, are measured for various arrangements of mannequins within a typical office environment. 



freqs [21x1]: frequencies of measurements

S11 [162x80x21]: complex-valued reflection coefficient for each measurement location and frequency

S21 [162x80x21]: complex-valued transmission value for each measurement location and frequency

X/Y [162x80]: 𝑥- and 𝑦-location of the measurement samples






 

More detailed descriptions of the dataset can be found in HOLDEN Deliverable D3.3. The ray-tracing simulation framework and the holography imaging method are introduced in Deliverables D3.1 and D3.2, respectively.

Part of the data and results are found in:

[1] Q. Wang and T. F. Eibert, “Microwave imaging of electromagnetic wave absorbers in an antenna measurement chamber,” in IEEE Int. Symp. Antennas Propag., Jul. 2024, pp. 1139–1140.[2] Q. Wang, M. M. Saurer, and T. F. Eibert, “3D near-field passive radar imaging utilizing phase corrected frequency domain inverse source reconstructions,” IEEE Trans. Antennas Propag., submitted, also to TechRxiv.
description: Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Innovation Council and SMEs Executive Agency (EISMEA). Neither the European Union nor the granting authority can be held responsible for them.