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This study presents a hardware solution using FPGA for faster processing of frequency-modulated continuous wave (FMCW) LiDAR signals. This advancement improves the speed and efficiency of absolute distance measurements for high-precision 3D topography.

Area of Science:

Optical Metrology
Laser Interferometry
Signal Processing

Background:

Frequency-modulated continuous wave (FMCW) laser interferometry offers high precision and noncooperative target measurement for absolute distance determination.
Existing FMCW LiDAR technologies require faster measurement speeds for high-precision, high-speed 3D topography applications.

Purpose of the Study:

To develop a real-time, high-precision hardware solution for processing FMCW LiDAR beat frequency signals.
To reduce signal processing time, energy consumption, and resource utilization in FMCW LiDAR systems.

Main Methods:

Implementation of a hardware multiplier array for accelerated lidar beat frequency signal processing.
Design and real-time implementation of a high-speed FPGA architecture for the FMCW lidar range extraction algorithm.

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Utilizing full-pipeline and parallelism principles for algorithm design.

Main Results:

The developed FPGA system demonstrates significantly faster processing speeds compared to current top-performing software implementations.
The hardware solution effectively reduces lidar beat frequency signal processing time.
Energy and resource consumption during processing are optimized.

Conclusions:

The proposed FPGA-based hardware solution enhances the real-time processing capabilities of FMCW LiDAR.
This advancement addresses the need for faster measurement speeds in high-precision 3D topography applications.
The system offers a more efficient and performant alternative to software-based signal processing.