This illustration serves as a prime example of employing ray tracing to simulate the response of a MIMO imaging radar when exposed to a pre-defined 3D scene. This simulation harnesses the robust capabilities of the RadarSimPy framework. Additionally, it provides a fundamental demonstration of the radar signal processing techniques used to generate an image of the scene.
In this example, we will employ RadarSimPy’s ray tracing capabilities to demonstrate how vertical multipath effects from the ground can impact the received signal amplitude in an FMCW radar system.
In this demonstration, we harness the formidable ray tracing capabilities offered by RadarSimPy to simulate the micro-Doppler signature generated by a rotating turbine.
In this demonstration, we leverage the powerful ray tracing capability of RadarSimPy to simulate the intricate Doppler signatures induced by a rotating wind turbine. Additionally, we showcase the step-by-step process of plotting these Doppler signatures on a spectrogram, providing a visual representation of the frequency shifts caused by the turbine’s rotation.
This illustration exemplifies the utilization of ray tracing to simulate the response of an FMCW radar to a predefined 3D scene, employing the powerful framework of RadarSimPy. Furthermore, it offers a comprehensive demonstration of fundamental range and Doppler processing techniques, enabling the extraction of crucial target information such as range and velocity.
This illustration provides a simulation of an FMCW radar system with a rotating metal plate. This simulation is executed through the raytracing framework available in RadarSimPy.
This illustration offers a simulation of an FMCW radar employing a trihedral corner reflector, implemented through the raytracing framework provided by RadarSimPy. Furthermore, it presents a practical demonstration of essential range and Doppler processing techniques, allowing the extraction of target range and velocity information, in addition to showcasing the two-dimensional CFAR technique.
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.