Knowledge based Radar using MATLAB
From the series: Signal Processing and Wireless – Webinar Series
R Avinash, DRDO Young Scientist Lab
Overview
Knowledge-based radar has the capability of performing perception of the environment, learn from its surroundings using memory, and act and update the memory based on the feedback. This is analogous to the game problem that is handled using the Reinforcement Learning paradigm – Trial and Error to maximize the total return. This kind of strategy will certainly improve the detection capability in highly sensitive Electronic Counter Measure scenarios. MATLAB does come with several packages for creating scenarios and building optimization problems using Reinforcement Learning and Deep Learning methodology to provide faster algorithm development and test framework similar to actual environment situation.
About the Presenter
R Avinash received a B.E degree in Computer Science and Engineering from Madras Institute of Technology in the year 2007. He worked as a software engineer in Infosys and later joined LRDE as Scientist ‘B’ in the year 2009. He has worked in the development of Radar Signal Processor and Data Processor for Ground-based radars.
He is currently working in DRDO Young Scientist Lab – Cognitive Technology located at IIT-M Research Park, Chennai. His present research areas are development of Knowledge-based radars.
Recorded: 21 Nov 2020
