A RadarSimPy demo simulating a C-band SAR flyover of a parking lot: six real vehicle meshes ray-traced with mixed materials, chained multi-segment flights, and sliding-window Back-Projection imaging — showing how physically accurate ray tracing naturally produces real-world SAR artifacts like layover.
This notebook demonstrates pulse radar altimeter simulation for measuring altitude above terrain using RadarSimPy. The example configures a 10 GHz X-band altimeter positioned at 4000m altitude with a downward-pointing antenna that creates a ~140m terrain footprint. Using a detailed Grand Canyon 3D surface model, the simulation generates realistic ground returns and applies matched filtering to… Read More »Pulse Radar Altimeter
This post demonstrates radar platform motion planning using RadarSimPy, showing how to simulate FMCW radar systems mounted on moving platforms (vehicles, drones, robots). You’ll learn to define arbitrary time-varying radar trajectories, understand how platform motion creates Doppler shifts on stationary targets, and analyze Range-Doppler maps for moving radar scenarios. The examples cover linear motion, complex… Read More »FMCW Radar with Motion Planning
In this example, we demonstrate how the RadarSimPy framework can be applied to derive the Cross-Polarization and Co-Polarization RCS of a corner reflector.
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… Read More »Imaging Radar
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.
