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1.5 μm polarization coherent lidar incorporating time-division multiplexing
Optics Express
|October 19, 2017
Summary
A novel coherent Doppler lidar (CDL) simultaneously measures atmospheric depolarization ratio and wind velocity. This versatile instrument enhances wind detection accuracy and range by utilizing previously wasted backscattering data.
Area of Science:
- Atmospheric physics and remote sensing
- Optical engineering
- Meteorology
Background:
- Traditional coherent Doppler lidars (CDLs) often suffer from systematic errors due to detector non-uniformity.
- The perpendicular component of backscattering is typically underutilized in conventional lidar systems.
- Accurate measurement of atmospheric depolarization ratio (ADR) and wind velocity is crucial for meteorological studies.
Purpose of the Study:
- To develop and demonstrate a single versatile coherent Doppler lidar (CDL) capable of simultaneous atmospheric depolarization ratio (ADR) and wind velocity measurements.
- To improve the carrier-to-noise ratio (CNR) in wind detection by utilizing the perpendicular backscattering component.
- To eliminate systematic errors associated with multiple detectors in traditional lidar systems.
Main Methods:
- Utilizing a single balanced detector with time-division multiplexing to acquire parallel and perpendicular backscattering components.
- Implementing a versatile CDL that can switch between polarization-sensitive and traditional modes.
- Employing a 300 ns laser pulse with 100 μJ energy for wind detection.
Main Results:
- Achieved a detection range of 6 km with 0.5 m/s precision in traditional mode.
- Demonstrated the ability to retrieve ADR using the perpendicular backscattering component.
- Showcased improved CNR for wind detection by incorporating the perpendicular component.
- Successfully conducted continuous 26-hour wind detection in the atmospheric boundary layer, proving system robustness.
Conclusions:
- The developed versatile CDL offers a robust and stable platform for simultaneous ADR and wind velocity measurements.
- The system effectively mitigates systematic errors and enhances wind detection performance.
- This technology provides valuable data for understanding atmospheric dynamics and wind structures.