Correction algorithm of the frequency-modulated continuous-wave LIDAR ranging system

Area of Science:

• Optical Engineering
• Signal Processing
• Laser Technology

Background:

• Frequency-modulated continuous-wave LIDAR (FMCW LIDAR) offers high resolution and long-range capabilities compared to pulse LIDAR.
• FMCW LIDAR systems are susceptible to environmental noise, spectrum aliasing, and spectrum leakage, degrading performance.
• Existing filtering and signal transformation algorithms provide limited effectiveness in mitigating these issues.

Purpose of the Study:

• To propose and evaluate a novel signal correction algorithm for FMCW LIDAR systems.
• To address limitations of traditional methods in handling noise and spectral distortions.
• To enhance the accuracy and reliability of distance measurements in FMCW LIDAR.

Main Methods:

• Development of the VMD-based refined cross-power spectral density (VRCPSD) algorithm.
• Integration of variational mode decomposition (VMD) for signal denoising.
• Application of improved spectrum refinement and cross-power spectral density techniques for signal processing.

Main Results:

• The VRCPSD algorithm demonstrated superior spectrum correction performance on a high-speed linear array APD FMCW LIDAR experimental platform.
• Comparison with traditional spectrum correction algorithms showed significant improvements.
• The VRCPSD algorithm successfully reduced the margin of error to the centimeter level.

Conclusions:

• The VRCPSD algorithm effectively improves the signal waveform and spectral correction in FMCW LIDAR systems.
• This advanced signal processing technique leads to more accurate distance measurements.
• The VRCPSD algorithm shows significant promise for enhancing the practical applications of FMCW laser radar ranging.