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Updated: Dec 12, 2025

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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
Published on: September 5, 2019
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Free-space 16-ary orbital angular momentum coded optical communication system based on chaotic interleaving and
Applied Optics
|August 14, 2020
Summary
This study introduces a novel chaotic interleaver and convolutional neural network (CNN) for free-space optical communication using orbital angular momentum (OAM) states. The system demonstrates improved performance and robustness against atmospheric turbulence (AT).
Area of Science:
- Optical Communications
- Free-Space Optics
- Signal Processing
Background:
- Orbital angular momentum (OAM) states in free-space optical communication are susceptible to atmospheric turbulence (AT) distortions.
- These distortions cause crosstalk and power discrepancies, degrading system performance.
- Existing methods require enhancement to mitigate these effects effectively.
Purpose of the Study:
- To propose and evaluate a novel system for free-space optical communication using OAM states.
- To enhance system performance and robustness against atmospheric turbulence.
- To investigate the effectiveness of a chaotic interleaver and a convolutional neural network (CNN) as an adaptive demodulator.
Main Methods:
- Implementation of a novel chaotic interleaver with low-density parity-check coded OAM-shift keying.
- Utilization of a convolutional neural network (CNN) as an adaptive demodulator for enhanced detection.
- Employing the conjugate light field method for signal detection and analyzing performance under various turbulence conditions, distances, and signal-to-noise ratios (SNR).
Main Results:
- The proposed system with chaotic interleaving shows superior performance compared to systems without it, especially at longer propagation distances.
- The CNN-based demodulator achieves high accuracy, mean average precision (MAP), and area under the curve (AUC), demonstrating effectiveness in distinct turbulence conditions.
- Stochastic gradient descent with momentum and adaptive moment estimation optimizers yield better results than root mean square propagation for the CNN.
Conclusions:
- The integration of a chaotic interleaver and a CNN adaptive demodulator significantly improves the performance of OAM-based free-space optical communication systems.
- The proposed system demonstrates enhanced resilience to atmospheric turbulence, achieving better peak SNR and lower mean square error.
- The study validates the system's viability for reliable digital image transmission under challenging environmental conditions.
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