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https://gitee.com/sunhf/gprMax.git
已同步 2025-08-07 04:56:51 +08:00
Updated to improve saving/loading of antenna origin coordinates file.
这个提交包含在:
@@ -40,8 +40,8 @@ How to use the module
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* Firstly you should familiarise yourself with the example model input file. Edit the input file as desired and run one of the simulations for either E-plane or H-plane patterns.
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* Whilst the simulation is running edit the 'user configurable paramters' sections of the ``initial_save.py`` and ``plot_fields.py`` modules to match the setup of the simulation.
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* Once the simulation has completed, run the ``initial_save.py`` module on the output file, e.g. for the E-plane ``python -m user_libs.antenna_patterns.initial_save antenna_like_GSSI_1500_patterns_E.out``. This will produce a Numpy file containing the field pattern data.
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* Plot the field pattern data by running the ``plot_fields.py`` module on the Numpy file, e.g. for the E-plane ``python -m user_libs.antenna_patterns.plot_fields antenna_like_GSSI_1500_patterns_E.npy``
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* Once the simulation has completed, run the ``initial_save.py`` module on the output file, e.g. for the E-plane ``python -m user_libs.antenna_patterns.initial_save user_models/antenna_like_GSSI_1500_patterns_E_Er5.out``. This will produce a Numpy file containing the field pattern data.
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* Plot the field pattern data by running the ``plot_fields.py`` module on the Numpy file, e.g. for the E-plane ``python -m user_libs.antenna_patterns.plot_fields user_models/antenna_like_GSSI_1500_patterns_E_Er5.npy``
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.. tip::
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@@ -5,8 +5,12 @@
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#python:
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import os
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import numpy as np
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from gprMax.input_cmd_funcs import *
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from user_libs.antennas import antenna_like_GSSI_1500
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filename = os.path.splitext(os.path.split(__file__)[1])[0]
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timewindows = np.array([4.5e-9]) # For 0.3m max
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radii = np.linspace(0.1, 0.3, 20)
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theta = np.linspace(3, 357, 60)
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@@ -29,7 +33,7 @@ print('#material: {}'.format(materials[selector]))
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print('#box: 0 0 0 {} {} {} {} n'.format(domain[0], domain[1], fs[2] + radii[-1], materials[selector].split()[-1]))
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## Save the position of the antenna to file for use when processing results
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np.savetxt(os.path.join(input_directory, 'antenna_like_GSSI_1500_patterns_E_rxsorigin.txt'), antennaposition, fmt="%f")
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np.savetxt(os.path.join(input_directory, filename + '_rxsorigin.txt'), antennaposition, fmt="%f")
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## Generate receiver points for pattern
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for radius in range(len(radii)):
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@@ -40,5 +44,5 @@ for radius in range(len(radii)):
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for rxpt in range(len(theta)):
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print('#rx: {:.3f} {:.3f} {:.3f}'.format(x[rxpt] + antennaposition[0], y[rxpt] + antennaposition[1], z[rxpt] + antennaposition[2]))
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#print('#geometry_view: 0 0 0 {} {} {} 0.001 0.001 0.001 antenna_like_GSSI_1500_patterns_E n'.format(domain[0], domain[1], domain[2]))
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geometry_view(0, 0, 0, domain[0], domain[1], domain[2], 0.001, 0.001, 0.001, filename, 'n')
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#end_python:
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@@ -5,8 +5,12 @@
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#python:
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import os
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import numpy as np
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from gprMax.input_cmd_funcs import *
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from user_libs.antennas import antenna_like_GSSI_1500
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filename = os.path.splitext(os.path.split(__file__)[1])[0]
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timewindows = np.array([4.5e-9]) # For 0.3m max
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radii = np.linspace(0.1, 0.3, 20)
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theta = np.linspace(3, 357, 60)
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@@ -29,7 +33,7 @@ print('#material: {}'.format(materials[selector]))
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print('#box: 0 0 0 {} {} {} {} n'.format(domain[0], domain[1], fs[2] + radii[-1], materials[selector].split()[-1]))
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## Save the position of the antenna to file for use when processing results
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np.savetxt(os.path.join(input_directory, 'antenna_like_GSSI_1500_patterns_H_rxsorigin.txt'), antennaposition, fmt="%f")
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np.savetxt(os.path.join(input_directory, filename + '_rxsorigin.txt'), antennaposition, fmt="%f")
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## Generate receiver points for pattern
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for radius in range(len(radii)):
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@@ -40,5 +44,5 @@ for radius in range(len(radii)):
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for rxpt in range(len(theta)):
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print('#rx: {:.3f} {:.3f} {:.3f}'.format(x[rxpt] + antennaposition[0], y[rxpt] + antennaposition[1], z[rxpt] + antennaposition[2]))
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#print('#geometry_view: 0 0 0 {} {} {} 0.001 0.001 0.001 antenna_like_GSSI_1500_patterns_H n'.format(domain[0], domain[1], domain[2]))
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geometry_view(0, 0, 0, domain[0], domain[1], domain[2], 0.001, 0.001, 0.001, filename, 'n')
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#end_python:
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