RadarSimPy employs a combination of ray tracing and the PO approximation to simulate the RCS of a three-dimensional object based on its model. In this example, we illustrate how the RadarSimPy framework can be utilized to obtain the RCS of a car from various observation angles.
RadarSimPy integrates ray tracing and the PO approximation to model the RCS of three-dimensional objects. In this example, we showcase how the RadarSimPy framework can be used to calculate the RCS of a flat plate across various observation angles.
RadarSimPy combines ray tracing and the PO approximation to simulate the RCS of a three-dimensional object using its model. In this example, we demonstrate how the RadarSimPy framework can be applied to derive the RCS of a corner reflector across a range of observation angles and frequencies.
The ray tracing engine within RadarSimPy can be harnessed to generate a point cloud within a user-defined scene. This point cloud primarily comprises the initial reflection points of the ray clusters, effectively resembling the point cloud obtained through Lidar technology.
