Information-Theoretic Approach to Fully Adaptive Radar Resource Management

#radar #adaptive #signal #processing
Share

Free Virtual IEEE Tech Talk About Fully Adaptive Radar Resource Management!


The recent emergence of agile software-controlled waveform generation provides an opportunity to dramatically improve radar system performance. This talk describes an integrated algorithm for estimating the state of a surveillance region and using this estimate to design future radar transmissions. Our fully adaptive radar (FAR) resource management (RM) approach emulates the perception-action cycle (PAC) of cognition.  The FAR-RM PAC includes a perceptual processor that performs multiple radar system tasks and an executive processor that allocates system resources to the tasks and decides the next transmission of the radar on a dwell-by-dwell basis.  The executive processor uses an information theoretic objective function to select the collection of waveforms that is expected to maximally improve the perception on the next cycle. We illustrate our approach in simulation using a model of an agile multi-mode radar whose mission is tracking and classifying multiple target aircraft.

 



  Date and Time

  Location

  Hosts

  Registration



  • Date: 17 Nov 2023
  • Time: 12:00 PM to 01:00 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
  • Add_To_Calendar_icon Add Event to Calendar
If you are not a robot, please complete the ReCAPTCHA to display virtual attendance info.
  • Contact Event Hosts
  • Starts 22 October 2023 12:00 AM
  • Ends 17 November 2023 11:00 AM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
  • No Admission Charge


  Speakers

Dr. Kristine Bell of Metron Inc.

Topic:

Information-Theoretic Approach to Fully Adaptive Radar Resource Management

Biography:

Kristine Bell is a Distinguished Fellow at Metron, Inc. and also holds an Affiliate Faculty position in the Statistics Department at George Mason University (GMU). Her technical expertise is in the area of statistical signal processing and multi-target tracking and her current focus is on cognitive and fully adaptive radar, sonar, and electronic warfare systems. She received the B.S. in Electrical Engineering from Rice University in 1985, and the M.S. and Ph.D. from GMU in 1990 and 1995.  From 1996-2009, Dr. Bell was an Associate/Assistant Professor in the Statistics Department and C4I Center at GMU. During this time she was also a visiting researcher at the US Army Research Laboratory and the US Naval Research Laboratory.  Dr. Bell has served on the IEEE Dennis J. Picard Radar Technologies Medal Selection Committee, the IEEE Jack S. Kilby Signal Processing Medal Selection Committee, the IEEE Aerospace and Electronic Systems Society (AESS) Fellow Evaluation Committee, and the AESS Radar Systems Panel, where she was the chair of the Student Paper Competition Committee.  She was the chair of the IEEE Signal Processing Society’s Sensor Array and Multichannel (SAM) Technical Committee.  She received the GMU Volgenau School of IT & Engineering Outstanding Alumnus Award in 2009 and the IEEE AESS Harry Rowe Mimno Best Magazine Paper Award in 2021. She is a Fellow of IEEE.





Agenda

Friday, November 17, 2023 (All times listed below are in Eastern Time)

11:45 A.M. - 12:00 P.M. - Attendees join the Zoom call

12:00 P.M. - 12:45 P.M. - Dr. Kristine Bell presents "Information-Theoretic Approach to Fully Adaptive Radar Resource Management"

12:45 P.M. - 1:00 P.M. - Questions & Answers

1:00 P.M. - 1:30 P.M. - Additional time for Questions & Answers, if desired