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In this illustrative example, we will showcase the process of configuring an interference radar within the simulation environment. Subsequently, we will delve into the exploration of its consequential impact on the baseband samples of a victim 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.

Phase Noise

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RadarSimPy offers support for simulating transmitter phase noise. By integrating measured phase noise data into the simulation module, users can assess how phase noise affects the performance of the radar system. Here’s an illustrative example of how to incorporate phase noise into the radar module.


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This illustrative example showcases the effective utilization of channel delay and prp (pulse repetition period) for configuring a TDM MIMO radar using RadarSimPy.

FMCW Radar

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This illustration showcases a simulation of an FMCW radar using the RadarSimPy framework. It additionally provides a demonstration of fundamental range and Doppler processing techniques for extracting target range and velocity information.