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Simulating Land and Sea Surfaces in Dynamic Radar Scenarios

Overview

Assessing radar performance in a representative environment, where the reflections from surrounding surfaces are considered is critical to ensure that a radar system design meets its performance requirements.  In this webinar, we will demonstrate how to model surface reflections from land and sea in a radar scenario. This allows you to assess the system design performance before prototyping the system. It also enables you to develop signal processing techniques for detection and data processing algorithms for tracking and image formation while accounting for the clutter due to land and sea surfaces. 

Highlights

You will learn how to:

  • Model a land surface with digital elevation map or a sea surface including the motion of waves.
  • Customize the surface reflectivity with different reflectivity models including speckle.
  • Generate statistical detection and IQ data from a realistic radar scenario.

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

About the Presenter

Babak Memarzadeh is a senior product manager at MathWorks focusing on tools that support radar applications. Prior to joining MathWorks, Babak was a principal systems engineer at Geophysical Survey Systems, a ground penetrating radar manufacturing company, where he worked on a wide variety of projects ranging from MIMO radars for real-time 3D subsurface imaging, to localizing ground penetrating radars for autonomous vehicles. His contributions ranged from algorithm development and Electromagnetic modeling and simulation, to defining system level architecture for the next generation products. Babak received his Ph.D. in electrical and computer engineering from Northeastern University, where his research was focused on electromagnetic metamaterials and metasurfaces for wave manipulation. 

Product Focus

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