Real-Time Multi-Target Detection and Tracking with mmWave 5G NR Waveforms on RFSoC
Analysis
This paper presents a real-time multi-target detection and tracking system using mmWave 5G NR waveforms on an RFSoC. The research focuses on the implementation and performance evaluation of the system, which is crucial for various applications like autonomous driving and drone navigation. The use of RFSoC allows for efficient processing of the high data rates associated with mmWave signals. The paper likely details the system architecture, signal processing techniques, and experimental results demonstrating the system's capabilities.
Key Takeaways
- •Focuses on real-time multi-target detection and tracking.
- •Utilizes mmWave 5G NR waveforms.
- •Implemented on an RFSoC for efficient processing.
- •Relevant for applications like autonomous driving.
Reference
“The research likely explores the practical implementation challenges and performance metrics of the system.”