Dependence
- numpy
- scipy
- pymeshlab (preferred) or meshio
- Visual C++ Runtime (
Windows)
Installation
Download the pre-built module, and put the radarsimpy folder within your project folder as shown below:
-
Windows
- your_project.py
- your_project.ipynb
- radarsimpy
- __init__.py
- radarsimcpp.dll
- scene.xxx.pyd
- …
-
Linux
- your_project.py
- your_project.ipynb
- radarsimpy
- __init__.py
- libradarsimcpp.so
- scene.xxx.so
- …
Coordinate Systems
-
Scene Coordinate
- axis (m):
[x, y, z] - phi (deg): angle on the x-y plane. 0 deg is the positive x-axis, 90 deg is the positive y-axis
- theta (deg): angle on the z-x plane. 0 deg is the positive z-axis, 90 deg is the x-y plane
- azimuth (deg): azimuth -90 ~ 90 deg equal to phi -90 ~ 90 deg
- elevation (deg): elevation -90 ~ 90 deg equal to theta 180 ~ 0 deg
- axis (m):
-
Object’s Local Coordinate
- axis (m):
[x, y, z] - yaw (deg): rotation along the z-axis. Positive yaw rotates the object from the positive x-axis to the positive y-axis
- pitch (deg): rotation along the y-axis. Positive pitch rotates the object from the positive x-axis to the positive z-axis
- roll (deg): rotation along the x-axis. Positive roll rotates the object from the positive z-axis to the negative y-axis
- origin (m):
[x, y, z] - rotation (deg):
[yaw, pitch, roll] - rotation rate (deg/s):
[yaw rate, pitch rate, roll rate]
- axis (m):
Usage Examples
The source files of these Jupyter notebooks are available here.
-
Radar modeling and point target simulation
-
Radar modeling and 3D scene simulation with raytracing
-
3D modeled target’s RCS simulation
-
LiDAR point cloud
-
Receiver characterization
API Reference
Please check the Documentation
