Sparse Array Approach to Imaging Radar and Comparison with a Quasi Massive MIMO Technique | NXP 半导体

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Sparse Array Approach to Imaging Radar and Comparison with a Quasi Massive MIMO Technique

Sparse Array Approach to Imaging Radar and Comparison with a Quasi Massive MIMO Technique

About This Training

The video provides an introduction to two distinctive classes of FMCW MIMO radar approaches to imaging radar. Their key advantages and disadvantages are analyzed. The first class of MIMO radar technique prioritizes simultaneous transmission MIMO for achieving robust range Doppler detection performance. The second class of MIMO radar technique prioritizes large uniform array digital beamforming capability for achieving low ambiguity in the angular domain. Performance trade-offs in detection sensitivity, target dynamic range in range, Doppler, angle domains and angular resolution are discussed. Analyses on the design constraints, suitable use cases and limitations of the two classes of approaches are also provided.

What You Will Learn

Two approaches to imaging radar: 16T16R Doppler-Division MIMO Sparse Array and 48T48R Time-Division (Quasi-Massive) MIMO Beamformer
Key Comparisons of SNR, Spurious Detections in Doppler, Spurious Detections in Angle and Angular Resolution

Presented by

Ryan H. Wu

Technical Director, Advanced Radar Solutions, NXP Solutions
Huanyu Gu

Director Product Marketing ADAS, NXP Solutions

时长

56 min

语言

英语

技术级别

中级

0观看次数4赞

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培训所涉及的产品

S32R45: 面向成像雷达的S32R45高性能处理器

S32R45: 面向成像雷达的S32R45高性能处理器

样品/购买

Additional Resources

Radar Transceivers and SoCs

S32R Radar Processing

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