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Applying Artificial Intelligence for radar applications


Artificial intelligence technology is advancing fast. The possibilities for engineers to apply AI for radar applications is unlimited. We will use some real-world applications for AI which are evident now.

In this session, through detailed examples we will showcase how recent developments in MATLAB® and Simulink® enable more efficient simulation of AI for radar workflows. Highlights include:

Deep Learning & machine learning for radar applications

  • Workflow for AI driven system design
  • AI for classification for SAR targets, waveforms, images, micro doppler signatures
  • AI for regression including human health monitoring, maritime clutter removal
  • AI application examples

Elevation estimation in 3D Surveillance radars using Artificial Intelligence

  • Existing challenges in the elevation estimation of aerial targets in 3D surveillance radars
  • Motivation to use the AI in elevation estimation techniques
  • Implementation & testing of the proposed elevation estimation techniques using MATLAB tools
  • Performance improvement using AI techniques

About the Presenter

Sumit Garg | Sr. Application Engineer | MathWorks
Sumit Garg is a senior application engineer at MathWorks India specializing in design analysis and implementation of radar signal processing and data processing applications. He works closely with customers across domains to help them use MATLAB® and Simulink® in their workflows. He has over ten years of industrial experience in the design and development of hardware and software applications in the radar domain. He has been a part of the complete lifecycle of projects pertaining to aerospace and defence applications. Prior to joining MathWorks, he worked for Bharat Electronics Limited (BEL) and Electronics and Radar Development Establishment (LRDE) as a senior engineer. He holds a bachelor’s degree in electronics and telecommunication from Panjab University, Chandigarh.

Ram Pravesh | Deputy General Manager | Bharat Electronics Limited
Ram Pravesh has received the B Tech degree from the Institute of Engineering and Technology, Lucknow, IN in 2002 in Electronics & Communication. He is working in Radar SBU of Bharat Electronics Limited, Ghaziabad, IN since 2002 till date. He has completed is his M Tech degree in Radar & Communication from the Defense Institute of Advanced Technology, Pune, India in 2016. He is a Radar System Engineer and has been involved in the development of 3D surveillance Radars (Ground and Shipborne) for the Indian Military.  He has been associated with  Commissioning, installation, and evaluation trials of various types of radar systems. He is pursuing a Ph.D. in Electronics & Communication from NIT, Patna, IN. His area of interest is Radar Antenna, Radar Signal Processing, Target tracking & Recognition, SAR, Machine learning, and Remote sensing and Imaging.

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