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Read RCS metadata#

This example demonstrates how to use the ToolkitBackend class. It initiates AEDT through PyAEDT, opens an HFSS design, and proceeds to get the RCS data.

Perform required imports#

[1]:

from ansys.aedt.toolkits.radar_explorer.rcs_visualization import MonostaticRCSData
from ansys.aedt.toolkits.radar_explorer.rcs_visualization import MonostaticRCSPlotter

Get metadata#

[2]:

metadata = r"..\example_models\rcs_data\VV_Trihedral_RCS.json"

Load RCS#

[3]:

rcs_data = MonostaticRCSData(metadata)

Get RCS data#

[4]:

data_active_frequency = rcs_data.rcs_active_frequency
data_active_theta = rcs_data.rcs_active_theta
data_active_phi = rcs_data.rcs_active_phi
data_active_theta_phi = rcs_data.rcs_active_theta_phi
data = rcs_data.rcs

Load RCS plotter#

[5]:

rcs_data_plotter = MonostaticRCSPlotter(rcs_data)

Plot incident first incident wave theta#

[6]:

primary_sweep = "IWavePhi"
secondary_sweep_value = rcs_data.available_incident_wave_theta[0]

Plot RCS#

[7]:

freq = rcs_data_plotter.rcs_data.frequency
rcs_plot_1 = rcs_data_plotter.plot_rcs(
    primary_sweep=primary_sweep, secondary_sweep_value=secondary_sweep_value, title=f"Monostatic {freq} GHz", show=False
)

../../_images/examples_post_rcs_15_0.png

Plot last frequency RCS#

[8]:

rcs_data_plotter.rcs_data.frequency = rcs_data_plotter.rcs_data.frequencies[-1]
freq = rcs_data_plotter.rcs_data.frequency
rcs_plot_2 = rcs_data_plotter.plot_rcs(
    primary_sweep=primary_sweep, secondary_sweep_value=secondary_sweep_value, title=f"Monostatic {freq} GHz"
)

../../_images/examples_post_rcs_17_0.png

Plot polar RCS#

[9]:

rcs_data_plotter.rcs_data.frequency = rcs_data_plotter.rcs_data.frequencies[0]
freq = rcs_data_plotter.rcs_data.frequency
rcs_plot_polar = rcs_data_plotter.plot_rcs(
    primary_sweep=primary_sweep,
    secondary_sweep_value=secondary_sweep_value,
    is_polar=True,
    title=f"Monostatic {freq} GHz",
)

../../_images/examples_post_rcs_19_0.png

Plot three incident wave theta#

[10]:

primary_sweep = "IWavePhi"
secondary_sweep_value = rcs_data_plotter.rcs_data.available_incident_wave_theta[0:3]
rcs_data_plotter.rcs_data.data_conversion_function = "abs"

Plot RCS

[11]:

rcs_plot_3 = rcs_data_plotter.plot_rcs(
    primary_sweep=primary_sweep, secondary_sweep_value=secondary_sweep_value, is_polar=True
)

../../_images/examples_post_rcs_23_0.png

Plot all incident incident wave phi#

[12]:

primary_sweep = "IWaveTheta"

Plot RCS

[13]:

rcs_data_plotter.rcs_data.data_conversion_function = "dB10"
rcs_plot_4 = rcs_data_plotter.plot_rcs(primary_sweep=primary_sweep, secondary_sweep_value="all")

../../_images/examples_post_rcs_27_0.png

Plot over frequency#

[14]:

primary_sweep = "Freq"

Plot RCS

[15]:

iwavephi = rcs_data_plotter.rcs_data.incident_wave_phi
rcs_plot_5 = rcs_data_plotter.plot_rcs(
    primary_sweep=primary_sweep,
    title=f"Monostatic IWavePhi {iwavephi}",
)

../../_images/examples_post_rcs_31_0.png

Plot RCS

[16]:

iwavetheta = rcs_data_plotter.rcs_data.incident_wave_theta
secondary_sweep_value = rcs_data_plotter.rcs_data.available_incident_wave_phi[0:3]
rcs_plot_6 = rcs_data_plotter.plot_rcs(
    primary_sweep=primary_sweep,
    secondary_sweep="IWavePhi",
    secondary_sweep_value=secondary_sweep_value,
    title=f"Monostatic IWaveTheta {iwavetheta}",
)

../../_images/examples_post_rcs_33_0.png

Plot 3D RCS with Matplotlib#

[17]:

rcs_data_plotter.rcs_data.data_conversion_function = "dB20"
rcs_plot_7 = rcs_data_plotter.plot_rcs_3d(show=True)

../../_images/examples_post_rcs_35_0.png

Plot RCS in scene#

[18]:

rcs_data_plotter.rcs_data.data_conversion_function = "dB20"
rcs_data_plotter.clear_scene()
rcs_data_plotter.show_geometry = True
rcs_data_plotter.add_rcs()
rcs_data_plotter.plot_scene()