Multi Level Radar Data Synthesis: From Probabilistic Models to Physics Based Simulations
| Start Time | End Time |
|---|---|
| 25 Jun 2026, 05:30 EDT | 25 Jun 2026, 06:30 EDT |
Overview
This webinar explores how synthetic radar data can be generated across multiple levels of abstraction, from probabilistic models to high‑fidelity physics‑based simulations. Learn how to simulate radar sensors, environments, and targets to support system design, algorithm development, and validation. We will discuss modeling of waveforms, propagation effects, clutter, and target signatures. The session highlights how to transition seamlessly between abstraction levels.
Highlights
- Power-level applications, including link budget and performance analysis
- Measurement-level detection models incorporate processing chain gains and losses to simulate target detections
- Waveform-level I/Q models
- Emulate radar target returns in real time for hardware-in-the-loop (HIL) testing
About the Presenter
Sumit Garg | Principal Application Engineer | MathWorks
Sumit Garg is the principal application engineer at MathWorks India specializing in design analysis and implementation of signal processing and data processing applications. He works closely with customers in areas of radar, phased array, and sensor fusion. He has more than 14 years of industrial experience in the development of hardware and software applications in the radar domain.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
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