This free webinar focuses on the challenges that mode-agile or wartime reserve mode (WARM) radar and electronic warfare (EW) threat emitters pose to traditional static threat library implementations in radar and EW systems.
Another exciting topic it addresses is assessing the architecture of cognitive artificial intelligence (AI) and machine learning (ML) systems that can be used to deliver effective RF countermeasures.
In this webinar, you will learn about:
- The utilization of AI/ML in RADAR and EW systems
- Using RF simulation, record and playback solutions to train AI/ML engines
- Evaluating the response and effectiveness of EW counter measures
Speaker
Tim Fountain: Global Market Segment Manager for Radar & Electronic Warfare at Rohde & Schwarz
Tim has over 30 years of experience with market leaders in the Test & Measurement industry, focusing on RF and microwave applications in Aerospace & Defense. He started his professional life as an application engineer and has also held roles in R&D, corporate management, product planning, product marketing and business development. Tim holds a Masters Degree in Electrical and Electronic engineering from University of Hertfordshire in the UK. He is also certified as a chartered professional engineer in Europe. In his spare time Tim likes to fly, and is an instrument rated private pilot.