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gprMax/toolboxes/GPRAntennaModels/README.rst
2025-07-04 14:11:36 +03:00

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Toolboxes is a sub-package where useful Python modules contributed by users are stored.
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GPR Antenna Models
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Information
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The package features models of antennas similar to commercial GPR antennas. The following antenna models are included:
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Manufacturer/Model Dimensions Resolution(s) Author/Contact Attribution/Cite
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GSSI 1.5GHz (Model 5100) 170x108x45mm 1, 2mm Craig Warren (craig.warren@northumbria.ac.uk), Northumbria University, UK 1,2
MALA 1.2GHz 184x109x46mm 1, 2mm Craig Warren (craig.warren@northumbria.ac.uk), Northumbria University, UK 1
GSSI 400MHz 300x300x170mm 2mm Sam Stadler (sam.stadler@leibniz-liag.de), `Leibniz Institute for Applied Geophysics <https://www.leibniz-liag.de/en/research/methods/electromagnetic-methods/ground-penetrating-radar.html>`_, Germany 3
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**License**: `Creative Commons Attribution-ShareAlike 4.0 International License <http://creativecommons.org/licenses/by-sa/4.0/>`_
**Attributions/citations**:
1. Warren, C., Giannopoulos, A. (2011). Creating finite-difference time-domain models of commercial ground-penetrating radar antennas using Taguchi's optimization method. *Geophysics*, 76(2), G37-G47. (http://dx.doi.org/10.1190/1.3548506)
2. Giannakis, I., Giannopoulos, A., & Warren, C. (2019). Realistic FDTD GPR antenna models optimised using a novel linear/non-linear Full Waveform Inversion. *IEEE Transactions on Geoscience and Remote Sensing*, 57(3), 1768-1778. (https://doi.org/10.1109/TGRS.2018.2869027)
3. Stadler, S., & Igel, J. (2022). Developing realistic FDTD GPR antenna surrogates by means of particle swarm optimization. *IEEE Transactions on Antennas and Propagation*, 70(6), 4259-4272. (https://doi.org/10.1109/TAP.2022.3142335)
Package contents
================
* ``GSSI.py`` is a module containing models of antennas similar to those manufactured by `Geophysical Survey Systems, Inc. (GSSI) <http://www.geophysical.com>`_.
* ``MALA.py`` is a module containing models of antennas similar to those manufactured by `MALA Geoscience <http://www.malags.com/>`_.
Descriptions of how the models were created can be found in the aforementioned attributions.
How to use the package
======================
The antenna models can be accessed from within a block of Python code in an input file. The models are inserted at location x,y,z. The coordinates are relative to the geometric centre of the antenna in the x-y plane and the bottom of the antenna skid in the z direction. The models must be used with cubic spatial resolutions of either 1mm or 2mm by setting the keyword argument, e.g. ``resolution=0.002``.
.. note::
If you are moving an antenna model within a simulation, e.g. to generate a B-scan, you should ensure that the step size you choose is a multiple of the spatial resolution of the simulation. Otherwise when the position of antenna is converted to cell coordinates the geometry maybe altered.
Example
-------
To include an antenna model similar to a GSSI 1.5 GHz antenna at a location 0.125m, 0.094m, 0.100m (x,y,z) using a 2mm cubic spatial resolution:
.. code-block:: none
import gprMax
from toolboxes.GPRAntennaModels.GSSI import antenna_like_GSSI_1500
scene = gprMax.Scene()
# Import antenna model and add to model
dl = 0.002
ant_pos = (0.125, 0.094, 0.100)
gssi_objects = antenna_like_GSSI_1500(ant_pos[0], ant_pos[1], ant_pos[2],
resolution=dl)
for obj in gssi_objects:
# Rotate antenna model if desired
# obj.rotate('z', 90, origin=(ant_pos[0], ant_pos[1], ant_pos[2]))
scene.add(obj)
.. figure:: ../../images_shared/antenna_like_GSSI_1500.png
:width: 600 px
FDTD geometry mesh showing an antenna model similar to a GSSI 1.5 GHz antenna (skid removed for illustrative purposes).
.. figure:: ../../images_shared/antenna_like_GSSI_400.png
:width: 600 px
FDTD geometry mesh showing an antenna model similar to a GSSI 400 MHz antenna (skid removed for illustrative purposes).
.. figure:: ../../images_shared/antenna_like_MALA_1200.png
:width: 600 px
FDTD geometry mesh showing an antenna model similar to a MALA 1.2GHz antenna (skid removed for illustrative purposes).