Mastering Scalable Radar Signal Processing with AMD Versal Devices

🚀 Welcome to our comprehensive webinar on "Mastering Scalable Radar Signal Processing with AMD Versal Devices"! 🚀
In this webinar, we dive deep into the advanced techniques and strategies for optimizing radar signal processing using AMD Versal devices. Whether you're an experienced engineer or just starting out in the field, this session is designed to equip you with the knowledge and insights needed to enhance your radar signal processing projects' efficiency and effectiveness.
📌 Key Highlights:
Challenges in Creating a Scalable Radar Demonstration Platform: Learn about the complexities and how to balance performance with signal processing capabilities.
Scalable Design for High Performance: Discover how AMD's Versal devices, including the VC1902 and VP2802, enhance radar signal processing.
Phase One Performance Demonstration: See how rapid development techniques showcase hardware capabilities and algorithm performance.
Detailed Algorithm Implementation: Explore the space-time adaptive processing (STAP) algorithm and its application in radar systems.
Real-World Demonstration: Watch a step-by-step demonstration of our radar reference design using the VCK190 evaluation card.
🎤 Featured Speakers:
Dhimiter Qendri: Senior Embedded Software Designer at Fidus Systems.
Jason Timpe: Radar/EW System Architect at AMD/Xilinx.
Bachir Berkane: System and Algorithm Architect at Fidus Systems.
🛠️ Implementation Details:
Space-Time Adaptive Processing (STAP): Learn how STAP filters out stationary clutter and focuses on moving targets.
Phase Two and Beyond: Get insights into the future phases that will enhance system capabilities and extend algorithms.
Benefits of AI Engines: Understand why AMD's AI engines are a game-changer for radar signal processing.
🔍 Live Q&A Session:
We answered key questions about the STAP pipeline implementation, advantages of AI engines over DSP58 blocks, and more

[@ostrov11]

Лок’тар огар!