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Deconvolution of long-pulse lidar signals with matrix formulation
Applied Optics
|July 20, 1997
Summary
A novel deconvolution technique improves lidar signal resolution using special matrices derived from carbon dioxide (CO2) laser pulse profiles. This method corrects near-range signals and retrieves small-scale atmospheric variations, enhancing lidar data accuracy.
Area of Science:
- Atmospheric Science
- Optical Remote Sensing
- Signal Processing
Background:
- Lidar (Light Detection and Ranging) systems are crucial for atmospheric monitoring.
- Typical CO2 laser pulses can limit the resolution of retrieved atmospheric signals.
- Improving signal deconvolution is essential for accurate near-range atmospheric measurements.
Purpose of the Study:
- To introduce a new deconvolution technique for enhancing lidar signal resolution.
- To correct for signal distortions caused by typical CO2 laser pulse characteristics.
- To investigate the retrieval of small-scale atmospheric variations from lidar data.
Main Methods:
- Development of a deconvolution technique using special matrices.
- Matrices are constructed based on the temporal profile of CO2 laser pulses.
- Numerical simulations are employed to analyze deconvolution errors.
Main Results:
- The proposed technique successfully derives more resolved lidar signals.
- Near-range lidar signals are corrected, improving data quality.
- Small-scale variations in backscattered signals are effectively retrieved.
Conclusions:
- The deconvolution method offers enhanced resolution for lidar signals.
- It provides a viable approach for correcting near-range data and detecting subtle atmospheric changes.
- The technique's robustness against noise in lidar data and laser profiles is confirmed through simulation.
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