The Radar Simulation
Tool Chain
RadarSimX is a suite of high-performance radar simulation tools — from a no-code desktop app to Python and MATLAB APIs, a native C++ engine, and a portable C library. One simulation core, every workflow covered.
Every Workflow Covered.
From GUI-based simulation to Python scripting, MATLAB toolboxes, and bare-metal C++ — pick the interface that fits your stack.
Point-and-click FMCW simulation. No code required — full GUI for waveform, channels, targets, and results.
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Full Python API with NumPy integration. Ray tracing, RCS, LiDAR, DoA, CFAR, Swerling models, and more.
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Same high-fidelity simulation engine as RadarSimPy, fully accessible from MATLAB and Simulink workflows.
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Native C++ interface to the simulation core. Maximum performance, zero runtime overhead, OpenMP + CUDA support.
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Standalone native C library (.dll / .so). Embed the simulation engine into any language or environment via FFI.
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A shared simulation core that scales from interactive prototyping to production-grade integration.
CUDA acceleration for fast ray-tracing simulation on complex 3D scenes with multiple targets — from single reflectors to full vehicle models.
Simulate FMCW, PMCW, pulse, and fully arbitrary waveforms. Model phase noise, interference, multi-path effects, and TDM/FDM/DDM modulation.
Use with Python, MATLAB, C++, or the desktop app. Available for Windows and Linux, with CUDA or CPU-only (OpenMP) builds.
Ready 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.