| Start Time | End Time |
| 25 June 2026, 5:30 PM GMT+8 |
25 June 2026, 6:30 PM GMT+8 |
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.
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
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.
