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Post-processing correction of frequency sweep nonlinearity for FMCW LiDAR based on GPST-SST
Applied Optics
|June 10, 2026
Summary
This study introduces a novel nonlinear correction method for Frequency-Modulated Continuous Wave (FMCW) LiDAR, significantly improving measurement accuracy. The enhanced FMCW LiDAR system achieves a minimal standard deviation of 0.3 mm in ranging experiments.
Area of Science:
- Optoelectronics
- Signal Processing
- Metrology
Background:
- Frequency-Modulated Continuous Wave (FMCW) LiDAR offers high resolution and anti-interference capabilities.
- Performance is often limited by nonlinearities in the laser frequency sweep.
- Accurate ranging is crucial for various applications.
Purpose of the Study:
- To propose and validate a nonlinear correction method for FMCW LiDAR.
- To enhance the measurement precision of FMCW LiDAR systems.
- To address the limitations imposed by laser frequency sweep nonlinearity.
Main Methods:
- Developed a nonlinear correction technique integrating the Generalized Parametric Stockwell Transform (GPST) and Synchrosqueezing Transform (SST).
- Applied phase compensation to the beat signal within the FMCW LiDAR system.
- Conducted 100 repeated ranging experiments on a fixed target at 1 meter.
Main Results:
- Achieved a standard deviation of only 0.3 mm in measurement error over 100 trials.
- Demonstrated significant improvement in ranging accuracy compared to uncorrected methods.
- Validated the effectiveness of the proposed time-frequency analysis-based correction.
Conclusions:
- The proposed GPST and SST combined method offers an effective solution for FMCW LiDAR nonlinearity.
- This technique substantially enhances the measurement performance and accuracy of FMCW LiDAR.
- Provides a viable technical path for developing more precise LiDAR systems.
