INTRODUCTION TO OVER-THE-HORIZON RADAR AND ROBUST ADAPTIVE PROCESSING

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IEEE AESS DISTINGUISHED LECTURE

Aerospace and Electronics Systems Society (AESS) - Queensland Section Event

 

*** All welcome to attend - It's Free ***

 


Skywave OTH radars operate in the high frequency (HF) band (3-30 MHz) and exploit signal reflection from the ionosphere to detect and track targets at ranges of 1000 to 3000 km. The long-standing interest in OTH radar technology stems from its ability to provide persistent and cost-effective early-warning surveillance over vast geographical areas (millions of square kilometres).

As a key element of an integrated ISR system, OTH radar sensors play an important role in cueing higher resolution and more precise line-of-sight ISR sensors, which often have less persistent or more circumscribed coverage. The first part of the lecture introduces the fundamental principles of OTH radar design and operation in the challenging HF environment. This serves to motivate and explain the architecture and nominal capabilities of modern OTH radar systems.

The second part of the lecture describes adaptive processing techniques for clutter and interference mitigation and illustrates examples of their application to real OTH radar data.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 24 Aug 2018
  • Time: 04:00 PM to 05:00 PM
  • All times are (GMT+10:00) Australia/Queensland
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  • QUT Gardens Point Campus
  • 2 George Street
  • Brisbane, Queensland
  • Australia 4000
  • Building: Block B
  • Room Number: B124
  • Click here for Map

  • Contact Event Host
  • (Dr Jason Williams)

    Secondary Contacts:
    Ken Morris  or Amit Singh



  Speakers

Giuseppe A. Fabrizio of Defence Science and Technology Group, Acting Research Leader with Surveillance and Reconnaissance Systems

Biography:

Giuseppe A. Fabrizio received his B.E. and Ph.D. degrees from the Department of Electrical Engineering at Adelaide University, South Australia, in 1992 and 2000. Since 1993, Dr Fabrizio has been with the Australian Defence Science and Technology Group (DST Group), Australia.

From 2005-2015, he led the EW and adaptive signal processing section of the high frequency radar branch, where he was responsible for the development and practical implementation of robust adaptive signal processing techniques to enhance the operational performance of the Jindalee Operational Radar Network (JORN).

In 2015, he was promoted to Group Leader – Microwave Radar Systems in DST Group and is presently the acting Research Leader for the Surveillance and Reconnaissance Systems Major Science and Technology Capability (MSTC). Dr Fabrizio is a Fellow of the IEEE and the principal author of over 60 peer-reviewed journal and conference publications. He is a co-recipient of the prestigious M.  Barry Carlton Award for the best paper published in the IEEE Transactions on Aerospace and Electronic Systems (AES) on two occasions (2003 and 2004).

In 2007, he received the coveted DST Group Science and Engineering Excellence award for contributions to adaptive signal processing for JORN. Dr Fabrizio has delivered seven OTH radar tutorials in the national and international IEEE Radar Conference series. He is an Australian representative on the IEEE International Radar Systems Panel and is an IEEE AESS Distinguished Lecturer. He has served as Vice President of Education on the AESS Board of Governors (2012-2015) and is currently the President of the AES Society. Dr Fabrizio has collaborated with international defence agencies including NRL, AFRL, DRDC and ONERA under MoU agreements and has represented Australia in NATO SET panel activities. He has engaged extensively with private industry, including Lockheed Martin, BAE Systems and CEA Technologies, and collaborated with numerous academic institutions in Australia and abroad.

Dr Fabrizio received the IEEE Fred Nathanson Memorial Radar Award in 2011 for his contributions to radar signal processing. He is the author of the text “High Frequency Over-the-Horizon Radar – Fundamental Principles, Signal Processing and Practical Applications”, McGraw-Hill, NY, 2013.