High range resolution spectral-scanning LiDAR based on optical frequency-domain reflectometry

Area of Science:

• Optics and Photonics
• Remote Sensing
• Laser Technology

Background:

• Spectral scanning is a robust method for solid-state beam steering in LiDAR.
• Optical frequency-domain reflectometry (OFDR) offers high-precision measurements compatible with spectral scanning.

Purpose of the Study:

• To propose and demonstrate a novel spectral-scanning LiDAR system based on OFDR technology.
• To achieve high-resolution 3D imaging by obtaining cloud point data through spectral reflectivity and group delay measurements.

Main Methods:

• Utilized spectral scanning with a tunable laser source and OFDR.
• Connected measured spectral reflectivity and group delay with the dispersion equation to obtain target cloud point data.
• Employed OFDR for high-precision spectral scanning LiDAR.

Main Results:

• Demonstrated successful acquisition of cloud point data for targets.
• Achieved a tenfold improvement in range resolution compared to FMCW-based spectral-scanning LiDAR.
• Enabled high-resolution 3D imaging with a large number of angular pixels.

Conclusions:

• The proposed OFDR-based spectral-scanning LiDAR system provides enhanced range resolution and high-fidelity 3D imaging capabilities.
• This technology offers significant advantages for applications requiring precise 3D mapping and remote sensing.