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Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
Published on: March 22, 2019
Application of upconversion detection to pulsed C0(2) lidar.
Applied Optics
|April 17, 2010
Summary
This study explores using an upconversion detector to enhance pulsed carbon dioxide (CO(2)) lidar systems. This novel approach significantly improves sensitivity and reduces noise, offering a better alternative to traditional detection methods.
Area of Science:
- Optics and Photonics
- Atmospheric Science
- Laser Technology
Background:
- Pulsed carbon dioxide (CO(2)) lidar systems are crucial for atmospheric monitoring.
- Traditional direct detection diodes in lidar systems face limitations in sensitivity and background noise.
- Heterodyne detection methods in lidar are susceptible to speckle noise.
Purpose of the Study:
- To investigate the application of an upconversion detector for pulsed CO(2) lidar.
- To evaluate methods for rejecting thermal background radiation in upconversion detectors.
- To assess the sensitivity improvements offered by upconversion detectors compared to existing technologies.
Main Methods:
- Utilizing a nonlinear infrared (IR) crystal to convert 10-microm lidar radiation to the visible spectrum.
- Employing a narrowband filter for the up-converted signal or a cold filter front end for background radiation rejection.
- Detection of the up-converted visible signal using a photomultiplier tube.
Main Results:
- Upconversion detectors offer improved sensitivity, estimated to be 2 orders of magnitude better than direct detection diodes when using a narrowband visible filter.
- A cold filter front end can enhance upconversion detection performance close to the signal-shot noise limit.
- Upconversion detectors are not affected by speckle noise, unlike pulsed heterodyne detectors.
Conclusions:
- Upconversion detectors represent a significant advancement for pulsed CO(2) lidar systems.
- These detectors provide enhanced sensitivity and noise reduction capabilities.
- The technology offers a promising alternative for lidar applications requiring high performance and reliability.

