REAL-TIME SPACECRAFT ANOMALY DETECTION USING AMD VERSAL ADAPTIVE SOCS
Join us as we hear the latest news from AMD on how their Versal adaptive SoCs provide
an ideal platform for advanced signal processing in space-flight applications. Combining
scalar and vector processing resources with traditional FPGA logic gates, memory, and
DSP resources, these SoCs empower the integration of dense signal processing systems
in challenging environments.
This session will cover the design and implementation of a real-time spacecraft telemetry
anomaly detection system, leveraging recurrent neural networks (RNN) with long shortterm
memory (LSTM) on the AIE-ML vector processing engines of the AMD XQRVE2302
adaptive SoC. We’ll also discuss the latest qualification and radiation data for AMD XQR
Versal adaptive SoCs, and examine how their reconfigurable heterogeneous computing
resources enable demanding applications like digital beamforming and STAP radar
processing.
AGENDA
15:30 CET Avnet Silica Introduction and our focus on Space
15:35 CET Versal for Space Update and Case Study: Real-Time Spacecraft
Anomaly Detection Using AMD Versal Adaptive SoCs (AMD)
16:15 CET Q&A for AMD
16:30 CET Renesas Power Solutions for Versal and space product news
16:45 CET Teledyne e2v Solutions for Versal and space product news
17:00 CET Q&A for Renesas and Teledyne e2v
Speakers
Space Systems Architect
AMD
VP of Marketing
Teleydyne V2
Strategic and Technical Product Marketing Manager
Renesas
Senior Manager Aerospace and Avionics
Avnet Silica
