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Radar

DoA Estimation

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RadarSimPy boasts a comprehensive collection of prevalent DoA algorithms and beamformers within its processing module. The following example adeptly showcases the practical application of these algorithms within the realm of a simulated MIMO FMCW radar scenario.

Imaging Radar

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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.

Multi-Path Effect

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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.

Micro-Doppler

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In this demonstration, we harness the formidable ray tracing capabilities offered by RadarSimPy to simulate the micro-Doppler signature generated by a rotating turbine.

Doppler of a Turbine

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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.

FMCW Radar with a Car

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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.

FMCW Radar with a Plate

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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.

FMCW Radar with a Corner Reflector

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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.

Car RCS

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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.

Plate RCS

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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.