Cognitive Radar Systems and Applications
Cognitive Radar Systems and Applications
Date: 25-26 March 2026
Time: 0930-1700
Venue: Copthorne King's Hotel
Synopsis:
This two-day programme delivers a clear and structured introduction to Cognitive Radar, blending essential theory with modern, AI-enabled advancements. Participants will develop a solid understanding of how radar intelligence has evolved—from the perception-action cycle and environmental modelling to the latest adaptive radar architectures. Key topics include beamforming, waveform agility, software-defined radar, and MIMO and Reconfigurable RF systems, providing a practical view of how today’s radars sense, learn, and respond in real time.
Building on these foundations, the course explores how machine learning and reinforcement learning are transforming radar decision-making in complex and contested environments. Attendees will gain practical insight into cognitive sensing, spectrum awareness, and radar integration within electronic warfare scenarios.
The programme concludes with a forward-looking examination of emerging defence and civilian applications, including AI trust, explainability, and future technology trends. Designed for engineers, technical leaders, and defence professionals, this course equips participants with the knowledge needed to understand and leverage the full potential of cognitive radar.
Target Audience:
This course is designed for engineers, scientists, and technical professionals working in radar systems, electronic warfare, and signal processing. It is also suitable for defence analysts, R&D personnel, and technical managers seeking to understand how cognitive radar and machine learning techniques can enhance adaptive decision-making, situational awareness, and spectrum management
Contents:
Introduction to Cognitive Radar
Adaptive Radar Architectures
Environment and Target Modelling
Implementing the Cognitive Cycle
Machine Learning in Radar Processing
Reinforcement Learning in Radar Decision Making
Cognitive Radar in EW Environments
Applications and Future Directions