September 14, 2026
Explore OFDM radar simulation with RadarSimPy, from QPSK-modulated subcarriers and IFFT-based waveform generation to range-Doppler processing. This example demonstrates how…
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Python · MATLAB · C++ · Desktop App
The radar simulation tool chain.
Trusted across industries
GPU-Accelerated
CUDA acceleration for fast ray-tracing simulation on complex 3D scenes with multiple targets — from single reflectors to full vehicle models.
Multi-Waveform Support
Simulate FMCW, PMCW, pulse, and fully arbitrary waveforms. Model phase noise, interference, multi-path effects, and TDM/FDM/DDM modulation.
Multi-Platform
Use with Python, MATLAB, C++, or the new no-code desktop app. Available as a standalone library or integrated into your existing workflow.
// Products
Every workflow covered.
From GUI-based simulation to Python scripting, MATLAB toolboxes, and bare-metal C++ — pick the interface that fits your stack.
App
RadarSimApp
Point-and-click FMCW simulation. No code required — full GUI for waveform, channels, targets, and results.
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Python
RadarSimPy
Full Python API with NumPy integration. Ray tracing, RCS, LiDAR, DoA, CFAR, Swerling models, and more.
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MATLAB
RadarSimM
Same high-fidelity simulation engine as RadarSimPy, fully accessible from MATLAB and Simulink workflows.
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Library
RadarSimLib
Standalone native C library (.dll / .so). Embed the simulation engine into any language or environment via FFI.
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C++
RadarSimCpp
Native C++ interface to the simulation core. Maximum performance, zero runtime overhead, OpenMP + CUDA support.
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// Examples
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See it in action.
Radar Systems & Waveforms
FMCW, PMCW, pulsed radar, arbitrary waveforms, phase noise, and multi-path modeling.
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MIMO & Multi-Channel
TDM MIMO, imaging radar, DoA estimation with MUSIC, ESPRIT, Root-MUSIC, and IAA.
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3D Scene & Ray Tracing
Full STL mesh simulation with multi-path, micro-Doppler, turbine signatures, and car models.
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RCS Analysis
Car, plate, corner reflector RCS. Cross-polarization and co-polarization analysis.
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Signal Processing & Detection
CA-CFAR, OS-CFAR (1D/2D), Capon & Bartlett beamforming, Swerling target detection.
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LiDAR Simulation
LiDAR point cloud generation from 3D modeled objects and environments using the same ray-tracing core.
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// Blog
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Latest Posts
September 13, 2026
We're excited to announce the latest release of RadarSimPy, our high-fidelity radar simulation framework. This update brings new features, performance…
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July 22, 2026
A RadarSimPy demo simulating a C-band SAR flyover of a parking lot: six real vehicle meshes ray-traced with mixed materials,…
Read moreReady to Simulate?
Start with Python notebooks, drop into the desktop app, or integrate the C library directly — the whole radar simulation stack is one download away.