11 May 2018 Mitigation of image intensity distortion using chaos-modulated image propagation through gamma-gamma atmospheric turbulence
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Abstract
In recent work, mitigation of image distortion caused by modified von Karman-type (MVKS) phase turbulence has been investigated by using chaos waves generated via acousto-optic feedback in a Bragg cell whereby the chaos wave transferred to an optical carrier is either transmitted over an image-bearing transparency (with the image reconstructed thereafter using appropriate lensing), or alternatively the image (both spatial as well as dynamic) is used to modulate a chaos wave which is then propagated over the turbulent layer. These investigations have shown that the inherent properties of chaos waves enables reduction or mitigation of the image distortion under various turbulent conditions. In the work being presented here, mitigation of image distortion is explored using propagation through an atmospheric turbulent layer characterized by gamma-gamma type intensity fluctuations. The problem is analyzed under standard weak, moderate and strong turbulence conditions on the basis of the corresponding structure parameters. The relevant probability density functions are generated using small and large-scale eddies (α and β numbers) incorporated into the turbulence model. Stationary images are transmitted under non-chaotic and chaotic conditions, and the corresponding distortions in the received images are measured using the conventional metric of bit error rates (BERs). The system performances under non-chaotic and chaotic transmissions are compared with the intent to establish that packaging a signal within a chaos wave offers a degree of distortion mitigation.
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Ali A. Mohamed, Ali A. Mohamed, Monish R. Chatterjee, Monish R. Chatterjee, } "Mitigation of image intensity distortion using chaos-modulated image propagation through gamma-gamma atmospheric turbulence ", Proc. SPIE 10650, Long-Range Imaging III, 106500E (11 May 2018); doi: 10.1117/12.2306482; https://doi.org/10.1117/12.2306482
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