Model-Based System Engineering for Radar System Design


Please join MathWorks at this upcoming seminar.

In the first part of the webinar you will learn how MATLAB®, Simulink®, System Composer and Simulink Requirements together provide a Model-Based System Engineering (MBSE) platform that allows you to move from the concept of a radar system to its implementation in a single development environment. Designers can trace requirements, define the architecture of a system, optimize it through trade studies and validate it with simulation. 

In the second part of the webinar you will learn about algorithms and tools to design, simulate, and analyze systems that fuse data from multiple sensors to maintain position, orientation, and situational awareness.


  • Manage system requirements and perform impact and coverage analysis
  • Manage the system complexity through the creation of custom views
  • Verify the behavior of a system through the simulation
  • Create multi-object trackers and sensor fusion filters
  • Generate synthetic detection data for radar, EO/IR, sonar, and RWR sensors, along with GPS/IMU sensors for localization
  • Evaluate system accuracy 

Who Should Attend

System engineers and algorithm developers of radar systems.

About the Presenter

Alexandra Beaudouin is part of the Aerospace & Defense Industry Marketing team in MathWorks. Prior to MathWorks, Alexandra led an Embedded Software Department for a specialist supplier in the Aeronautics & Defense Industry; her focus was the development of critical and certified software as part of major Aeronautics and Defense programs. Lastly, Alexandra was an Engineering Manager at Thales focusing on improving the development team based on her certification and system engineering knowledge.

Vincenzo Petrella is an Application Engineer in MathWorks. Vincenzo holds a M.Sc. in Aeronautical Engineering from La Sapienza University of Rome with a major in flight dynamics and helicopter flight mechanics.

Before joined the MathWorks in 2018 he worked, as consultant, for 5 years in Leonardo – Electronic Division. During his time at Leonardo, he was involved in the development of MATLAB/Simulink dynamical models for flight training simulators, increasing his knowledge of Model-Based design and code generation.

Giuseppe Ridinò earned a M.S. degree in Electronics Engineering from the Polytechnic of Turin in 1997, and has studies experiences in the UPC (Barcelona, Spain) and the GhK (Kassel, Germany).

He has worked many years as consultant and software engineer, gaining experiences in a broad range of industries and technological environments, mainly about modelling and simulations using MATLAB and Simulink.

In 2014 he joined MathWorks, and now is Senior Application Engineer with a focus on signal and image processing, communication systems, computer vision, autonomous systems, and C/C++ and HDL code generation.

Rick Gentile focuses on Phased Array, Signal Processing, and Sensor Fusion applications at MathWorks. Prior to joining MathWorks, Rick was a Radar Systems Engineer at MITRE and MIT Lincoln Laboratory, where he worked on the development of radar systems. Rick also was a DSP Applications Engineer at Analog Devices where he led embedded processor and system level architecture definitions for high performance signal processing systems. Rick co-authored the text “Embedded Media Processing”. He received a B.S. in Electrical and Computer Engineering from the University of Massachusetts, Amherst and an M.S. in Electrical and Computer Engineering from Northeastern University, where his focus areas of study included Microwave Engineering, Communications and Signal Processing.


Time Title




Introduction & Trends in Aerospace Industry


Radar Systems design with Simulink and System Composer


Sensor Fusion and Tracking for Next-Generation Radars



Product Focus

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