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Homodyne detection efficiency analysis of coherent lidar based on a hybrid algorithm
Applied Optics
|August 12, 2025
Summary
Atmospheric turbulence degrades coherent lidar performance. This study proposes a hybrid adaptive optics algorithm combining stochastic parallel gradient descent and simulated annealing to improve homodyne detection efficiency for better lidar systems.
Area of Science:
- Atmospheric optics
- Optical engineering
- Remote sensing
Background:
- Atmospheric turbulence causes phase variations, degrading coherent lidar homodyne detection efficiency and overall performance.
- Adaptive optics (AO) systems are crucial for correcting wavefront aberrations induced by atmospheric turbulence.
Purpose of the Study:
- To propose and evaluate a novel coherent lidar wavefront correction technique.
- To enhance homodyne detection efficiency in coherent lidar systems using adaptive optics.
Main Methods:
- Theoretical analysis of coherent lidar wavefront aberrations.
- Development of a hybrid algorithm integrating Stochastic Parallel Gradient Descent (SPGD) and Simulated Annealing (SA).
- Simulation-based verification of the proposed hybrid AO algorithm.
Main Results:
- The hybrid SPGD-SA algorithm significantly improves homodyne detection efficiency in coherent lidar.
- Simulation results demonstrate the algorithm's fast convergence speed.
- The proposed method exhibits strong wavefront aberration correction capabilities.
Conclusions:
- The hybrid SPGD-SA algorithm offers an effective solution for coherent lidar wavefront correction.
- This technique provides a valuable reference for designing advanced coherent lidar adaptive optics systems.
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