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Simulation

CFAR

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This example introduces constant false alarm rate (CFAR) detection and shows how to use RadarSimPy to perform Cell-Averaging CFAR (CA-CFAR) detection and Ordered Statistics CFAR (OS-CFAR) detection.

LIDAR Point Cloud

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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.

Receiver Operating Characteristic

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RadarSimPy provides a suite of tools for analyzing receiver operational characteristics. Here, we present an example to illustrate the utilization of these analysis tools.

PMCW Radar

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RadarSimPy offers support for various modulation schemes. This sample serves as a demonstration of how to utilize pulse modulation to construct a PMCW radar system, showcasing the fundamental signal processing techniques involved.

Doppler Radar

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Herein is an illustrative instance of a Doppler radar simulation, utilizing the framework of RadarSimPy.

TDM MIMO FMCW Radar

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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.