Geometric Manifold Statistics of Turbulence-Impacted Beam Propagation and Compensation in Optical Communication
Shouvik Sadhukhan, C. S. Narayanamurthy

TL;DR
This paper introduces a geometric manifold-based statistical framework to analyze turbulence-affected optical beam propagation, using Gaussian Mixture Models and Riemannian metrics to quantify turbulence effects and compensation efficacy.
Contribution
It develops a unified geometric approach combining probabilistic modeling and topological analysis to evaluate turbulence impact and compensation in optical communication.
Findings
Turbulence increases statistical dissimilarity in beam profiles.
Dielectric compensators reduce turbulence-induced aberrations.
Geometric metrics effectively quantify beam restoration after compensation.
Abstract
The present study extends the analysis of turbulence-affected beam statistics through a manifold-based statistical framework that unifies probabilistic modeling with geometric interpretation. The spatial intensity distributions, distorted by dynamic turbulence, are represented using Gaussian Mixture Models (GMMs), whose probability landscapes are refined via Kernel Density Estimation (KDE) applied to pixel-level intensity data across temporal frames. The temporal evolution of turbulence is quantified by monitoring the variation of the unnormalized volumetric integrals under the GMM surfaces, providing a continuous measure of power redistribution within the optical field. Experimental investigations were carried out under four propagation conditions: turbulence-free reference, turbulence only, turbulence with a single PMMA compensator, and turbulence with dual PMMA compensators. To…
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Taxonomy
TopicsOptical Wireless Communication Technologies · Orbital Angular Momentum in Optics · Advanced optical system design
