A Real-Time Synchronized Acquisition and Transmission Framework for ADC Streams and Point Cloud Data

This study proposes a real-time mmWave radar data acquisition and transmission platform based on interframe synchronization, addressing the limitations of traditional embedded and DSP systems. A point cloud generation algorithm and unified encoding methods for both point cloud data and ADC streams are developed. With FPGA-based high-speed Ethernet and edge computing, the system enables efficient, lowlatency signal processing. At 20 Hz, it achieves a bit error rate below 5% and latency under 10 ms. Comparative results with LVDS and TLV schemes confirm its superior reliability and efficiency.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/eeiss65394.2025.11085766
Primary Topic
Semiconductor Lasers and Optical Devices
Type
article
Field-Weighted Citation Impact
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article

A Real-Time Synchronized Acquisition and Transmission Framework for ADC Streams and Point Cloud Data

Lei Wang, Zhihao Wang, Hui Jiang, Tong-wei Yao
Semiconductor Lasers and Optical Devices
article

A Real-Time Synchronized Acquisition and Transmission Framework for ADC Streams and Point Cloud Data

Lei Wang, Zhihao Wang, Hui Jiang, Tong-wei Yao
article en

Abstract

This study proposes a real-time mmWave radar data acquisition and transmission platform based on interframe synchronization, addressing the limitations of traditional embedded and DSP systems. A point cloud generation algorithm and unified encoding methods for both point cloud data and ADC streams are developed. With FPGA-based high-speed Ethernet and edge computing, the system enables efficient, lowlatency signal processing. At 20 Hz, it achieves a bit error rate below 5% and latency under 10 ms. Comparative results with LVDS and TLV schemes confirm its superior reliability and efficiency.

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Semiconductor Lasers and Optical Devices
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