Presented by
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Senior Product Marketing Manager, Product Line Radar Systems, NXP Semiconductors
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Radar Algorithm Architect, NXP Semiconductors
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Software Engineer, NXP Semiconductors
NXPリファレンスデザイン・ライブラリ
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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
Additional Resources
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