An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence
This paper proposes an empirical model of the angle-of-arrival (AOA) variance for a Gaussian wave propagating through the weak non-Kolmogorov turbulence. The proposed model is approximately expressed as the linear weighted average between the AOA variances of the plane and spherical waves. The Monte...
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Format: | Article |
Language: | English |
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Wiley
2020-01-01
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Series: | International Journal of Optics |
Online Access: | http://dx.doi.org/10.1155/2020/7096276 |
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author | Chao Gao Libin Jiao Xiaofeng Li |
author_facet | Chao Gao Libin Jiao Xiaofeng Li |
author_sort | Chao Gao |
collection | DOAJ |
description | This paper proposes an empirical model of the angle-of-arrival (AOA) variance for a Gaussian wave propagating through the weak non-Kolmogorov turbulence. The proposed model is approximately expressed as the linear weighted average between the AOA variances of the plane and spherical waves. The Monte Carlo method is applied to validate the proposed model. The numerical simulations indicate that, under the geometrical optics approximation, the AOA variance for a Gaussian wave is insensitive to the change of the diffraction parameter and can be closely approximated by a simple linear relationship in the refraction parameter. These two properties ensure the validity of the empirical model. |
format | Article |
id | doaj-art-3b804e5d0b064e7b953e9858ae8480fb |
institution | Kabale University |
issn | 1687-9384 1687-9392 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Optics |
spelling | doaj-art-3b804e5d0b064e7b953e9858ae8480fb2025-02-03T06:07:37ZengWileyInternational Journal of Optics1687-93841687-93922020-01-01202010.1155/2020/70962767096276An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov TurbulenceChao Gao0Libin Jiao1Xiaofeng Li2The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, ChinaThe 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, ChinaSchool of Astronautics and Aeronautic, University of Electronic Science and Technology of China, Chengdu 611731, ChinaThis paper proposes an empirical model of the angle-of-arrival (AOA) variance for a Gaussian wave propagating through the weak non-Kolmogorov turbulence. The proposed model is approximately expressed as the linear weighted average between the AOA variances of the plane and spherical waves. The Monte Carlo method is applied to validate the proposed model. The numerical simulations indicate that, under the geometrical optics approximation, the AOA variance for a Gaussian wave is insensitive to the change of the diffraction parameter and can be closely approximated by a simple linear relationship in the refraction parameter. These two properties ensure the validity of the empirical model.http://dx.doi.org/10.1155/2020/7096276 |
spellingShingle | Chao Gao Libin Jiao Xiaofeng Li An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence International Journal of Optics |
title | An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence |
title_full | An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence |
title_fullStr | An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence |
title_full_unstemmed | An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence |
title_short | An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence |
title_sort | empirical model of angle of arrival variance for a gaussian wave propagation through non kolmogorov turbulence |
url | http://dx.doi.org/10.1155/2020/7096276 |
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