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Coherent laser radar performance for general atmospheric refractive turbulence
Applied Optics
|August 19, 2010
Summary
This study investigates signal-to-noise ratio (SNR) and heterodyne efficiency in coherent laser radar systems. It reveals how atmospheric turbulence affects SNR, with potential for significant increases under certain conditions.
Area of Science:
- Optical engineering
- Atmospheric physics
- Signal processing
Background:
- Coherent laser radar (or lidar) systems rely on heterodyne detection for high sensitivity.
- Understanding signal-to-noise ratio (SNR) and heterodyne efficiency is crucial for system performance.
- Atmospheric turbulence is a known factor that can degrade optical system performance.
Purpose of the Study:
- To investigate the signal-to-noise ratio (SNR) and heterodyne efficiency in coherent laser radar systems.
- To incorporate the effects of atmospheric refractive turbulence into the analysis.
- To provide a general framework applicable to various configurations and conditions.
Main Methods:
- Utilized the Fresnel approximation and a general formulation for laser radar analysis.
- Employed the path-integral formulation to include atmospheric refractive turbulence effects.
- Analyzed system components (transmitter, receiver, local oscillator) using untruncated Gaussians.
Main Results:
- Developed a general expression for SNR in terms of direct detection power and heterodyne efficiency.
- Demonstrated that the assumption of statistically independent paths is valid for weak turbulence under the Markov approximation.
- Showed that SNR can double in the limit of large path-integrated refractive turbulence compared to the statistically independent-path result.
Conclusions:
- The study provides a comprehensive analysis of SNR and heterodyne efficiency in coherent laser radar, including atmospheric turbulence.
- Identified physical mechanisms reducing heterodyne efficiency by performing calculations in the receiver plane.
- The findings offer insights into optimizing laser radar performance in turbulent atmospheric conditions.
