SBR+: doppler setup

This example shows how you can use PyAEDT to create a multipart scenario in HFSS SBR+ and set up a doppler analysis.

Perform required imports

Perform required imports.

import os
import pyaedt

Set AEDT version

Set AEDT version.

aedt_version = "2024.1"

# Launch AEDT
# ~~~~~~~~~~~
# Launch AEDT.

projectname = "MicroDoppler_with_ADP"
designname = "doppler"
library_path = pyaedt.downloads.download_multiparts()

Set non-graphical mode

Set non-graphical mode. You can set non_graphical either to True or False.

non_graphical = False

Download and open project

Download and open the project.

project_name = pyaedt.generate_unique_project_name(project_name="doppler")

# Instantiate the application.
app = pyaedt.Hfss(
    specified_version=aedt_version,
    solution_type="SBR+",
    new_desktop_session=True,
    projectname=project_name,
    close_on_exit=True,
    non_graphical=non_graphical
)

app.autosave_disable()

C:\actions-runner\_work\_tool\Python\3.10.9\x64\lib\subprocess.py:1072: ResourceWarning: subprocess 2404 is still running
  _warn("subprocess %s is still running" % self.pid,

True

Save project and rename design

Save the project to the temporary folder and rename the design.

app.save_project()
app.rename_design(designname)

True

Set up library paths

Set up library paths to 3D components.

actor_lib = os.path.join(library_path, "actor_library")
env_lib = os.path.join(library_path, "environment_library")
radar_lib = os.path.join(library_path, "radar_modules")
env_folder = os.path.join(env_lib, "road1")
person_folder = os.path.join(actor_lib, "person3")
car_folder = os.path.join(actor_lib, "vehicle1")
bike_folder = os.path.join(actor_lib, "bike1")
bird_folder = os.path.join(actor_lib, "bird1")

Define environment

Define the background environment.

road1 = app.modeler.add_environment(env_folder=env_folder, environment_name="Bari")
prim = app.modeler

Place actors

Place actors in the environment. This code places persons, birds, bikes, and cars in the environment.

person1 = app.modeler.add_person(
    actor_folder=person_folder, speed=1.0, global_offset=[25, 1.5, 0], yaw=180, actor_name="Massimo"
)
person2 = app.modeler.add_person(
    actor_folder=person_folder, speed=1.0, global_offset=[25, 2.5, 0], yaw=180, actor_name="Devin"
)
car1 = app.modeler.add_vehicle(actor_folder=car_folder, speed=8.7, global_offset=[3, -2.5, 0], actor_name="LuxuryCar")
bike1 = app.modeler.add_vehicle(
    actor_folder=bike_folder, speed=2.1, global_offset=[24, 3.6, 0], yaw=180, actor_name="Alberto_in_bike"
)
bird1 = app.modeler.add_bird(
    actor_folder=bird_folder,
    speed=1.0,
    global_offset=[19, 4, 3],
    yaw=120,
    pitch=-5,
    flapping_rate=30,
    actor_name="Pigeon",
)
bird2 = app.modeler.add_bird(
    actor_folder=bird_folder, speed=1.0, global_offset=[6, 2, 3], yaw=-60, pitch=10, actor_name="Eagle"
)

Place radar

Place radar on the car. The radar is created relative to the car’s coordinate system.

radar1 = app.create_sbr_radar_from_json(radar_file=radar_lib, name="Example_1Tx_1Rx", offset=[2.57, 0, 0.54],
                                        use_relative_cs=True, relative_cs_name=car1.cs_name)

Create setup

Create setup and validate it. The create_sbr_pulse_doppler_setup method creates a setup and a parametric sweep on the time variable with a duration of two seconds. The step is computed automatically from CPI.

setup, sweep = app.create_sbr_pulse_doppler_setup(sweep_time_duration=2)
app.set_sbr_current_sources_options()
app.validate_simple()

1

Plot model

Plot the model.

app.plot(show=False, export_path=os.path.join(app.working_directory, "Image.jpg"), plot_air_objects=True)

<pyaedt.generic.plot.ModelPlotter object at 0x000002716EF4CD00>

Solve and release AEDT

Solve and release AEDT. To solve, uncomment the app.analyze_setup command to activate the simulation.

# app.analyze_setup(sweep.name)
app.save_project()
app.release_desktop(close_projects=True, close_desktop=True)

True