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AI-Driven DoA and Interference Mitigation on a 4T4R Radar SoC

AI-Driven DoA and Interference Mitigation on a 4T4R Radar SoC

About This Training

Automotive radar is essential for enabling advanced driver assistance and autonomous driving. Yet, precise direction-of-arrival (DoA) estimation and robust interference mitigation remain challenging on embedded radar System-on-Chip (SoC) platforms due to limited compute and memory.

Discover how a streamlined signal processing pipeline that combines classical radar techniques with lightweight AI models can enhance DoA accuracy and interference mitigation on a 4T4R MIMO radar SoC. By fusing analytical methods with efficient deep learning architectures, the solution achieves high angular resolution within the constraints of embedded DSPs.

What You Will Learn

Market Needs
Processing Chain
Interference Mitigation
Real live demonstration recordings

Presented by

Dr. David Bethge
Senior Product Marketing Manager, Product Line Radar Systems, NXP Semiconductors
Filip Rosu, PhD
Radar Algorithm Architect, NXP Semiconductors
Pavel Agrigoroaei

Software Engineer, NXP Semiconductors

MoreLess

DURATION

58 min

LANGUAGE

English

SKILL LEVEL

Intermediate

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Additional Resources

Premium Radar SDK

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