Research on the Use of an Ocean Turbulence Bubble Simulation Model to Analyze Wireless Optical Transmission Characteristics
Turbulent vortices with uneven refractive indices and sizes affect the transmission quality of laser beams in seawater, diminishing the performance of underwater wireless optical communication systems. Currently, the phase screen simulation model constrains the range of turbulent vortex scales that...
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Veröffentlicht in: | Electronics (Basel) 2024-07, Vol.13 (13), p.2626 |
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creator | Zhu, Yunzhou Nie, Huan Liu, Qian Yang, Yi Zhang, Jianlei |
description | Turbulent vortices with uneven refractive indices and sizes affect the transmission quality of laser beams in seawater, diminishing the performance of underwater wireless optical communication systems. Currently, the phase screen simulation model constrains the range of turbulent vortex scales that can be analyzed, and the mutual restrictions of the phase screen parameters are not suitable for use on large-scale turbulent vortices. Referring to the formation process of turbulent vortices based on Kolmogorov’s turbulence structure energy theory, this study abstractly models the process and simulates the ocean turbulence effect as a spherical bubble with turbulent refractive index fluctuations using the Monte Carlo method, which is verified by fitting the probability distribution function of the received light intensity. The influence of the turbulence bubble model’s parameters on light intensity undulation and logarithmic intensity variance, as well as the relationship between logarithmic intensity variance and the equivalent structural constant, are then studied. An equivalent structural constant model of ocean turbulence represented by the bubble model’s parameters is established, which link the theoretical values with simulation values of the transmission characteristics. The simulation results show that the spherical bubble model’s simulation of ocean turbulence is effective and accurate; therefore, the model can provide an effective Monte Carlo simulation method for analyzing the impact of ocean turbulence channel parameters of the large-scale turbulent vortices on wireless underwater optical transmission characteristics. |
doi_str_mv | 10.3390/electronics13132626 |
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Currently, the phase screen simulation model constrains the range of turbulent vortex scales that can be analyzed, and the mutual restrictions of the phase screen parameters are not suitable for use on large-scale turbulent vortices. Referring to the formation process of turbulent vortices based on Kolmogorov’s turbulence structure energy theory, this study abstractly models the process and simulates the ocean turbulence effect as a spherical bubble with turbulent refractive index fluctuations using the Monte Carlo method, which is verified by fitting the probability distribution function of the received light intensity. The influence of the turbulence bubble model’s parameters on light intensity undulation and logarithmic intensity variance, as well as the relationship between logarithmic intensity variance and the equivalent structural constant, are then studied. An equivalent structural constant model of ocean turbulence represented by the bubble model’s parameters is established, which link the theoretical values with simulation values of the transmission characteristics. The simulation results show that the spherical bubble model’s simulation of ocean turbulence is effective and accurate; therefore, the model can provide an effective Monte Carlo simulation method for analyzing the impact of ocean turbulence channel parameters of the large-scale turbulent vortices on wireless underwater optical transmission characteristics.</description><identifier>ISSN: 2079-9292</identifier><identifier>EISSN: 2079-9292</identifier><identifier>DOI: 10.3390/electronics13132626</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Communication ; Communications systems ; Distribution functions ; Energy distribution ; Energy theory ; Equivalence ; Hydrology ; Impact analysis ; Laser beams ; Logarithms ; Luminous intensity ; Monte Carlo simulation ; Normal distribution ; Ocean models ; Oceanic analysis ; Probability distribution functions ; Process parameters ; Propagation ; Refractivity ; Salinity ; Seawater ; Simulation models ; Turbulence ; Turbulent flow ; Underwater communication ; Variance ; Vortices ; Wireless communications</subject><ispartof>Electronics (Basel), 2024-07, Vol.13 (13), p.2626</ispartof><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Currently, the phase screen simulation model constrains the range of turbulent vortex scales that can be analyzed, and the mutual restrictions of the phase screen parameters are not suitable for use on large-scale turbulent vortices. Referring to the formation process of turbulent vortices based on Kolmogorov’s turbulence structure energy theory, this study abstractly models the process and simulates the ocean turbulence effect as a spherical bubble with turbulent refractive index fluctuations using the Monte Carlo method, which is verified by fitting the probability distribution function of the received light intensity. The influence of the turbulence bubble model’s parameters on light intensity undulation and logarithmic intensity variance, as well as the relationship between logarithmic intensity variance and the equivalent structural constant, are then studied. An equivalent structural constant model of ocean turbulence represented by the bubble model’s parameters is established, which link the theoretical values with simulation values of the transmission characteristics. The simulation results show that the spherical bubble model’s simulation of ocean turbulence is effective and accurate; therefore, the model can provide an effective Monte Carlo simulation method for analyzing the impact of ocean turbulence channel parameters of the large-scale turbulent vortices on wireless underwater optical transmission characteristics.</description><subject>Communication</subject><subject>Communications systems</subject><subject>Distribution functions</subject><subject>Energy distribution</subject><subject>Energy theory</subject><subject>Equivalence</subject><subject>Hydrology</subject><subject>Impact analysis</subject><subject>Laser beams</subject><subject>Logarithms</subject><subject>Luminous intensity</subject><subject>Monte Carlo simulation</subject><subject>Normal distribution</subject><subject>Ocean models</subject><subject>Oceanic analysis</subject><subject>Probability distribution functions</subject><subject>Process parameters</subject><subject>Propagation</subject><subject>Refractivity</subject><subject>Salinity</subject><subject>Seawater</subject><subject>Simulation models</subject><subject>Turbulence</subject><subject>Turbulent flow</subject><subject>Underwater communication</subject><subject>Variance</subject><subject>Vortices</subject><subject>Wireless communications</subject><issn>2079-9292</issn><issn>2079-9292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptkE1LAzEQhoMoWGp_gZeA59V8dLPNsRa_oFLQFo9LNp2lKemmZrKH6p83pR48OIeZgXne4eUl5JqzWyk1uwMPNsXQOYtccimUUGdkIFilCy20OP-zX5IR4pbl0lxOJBuQ7zdAMNFuaOho2gBdIdDQUtPRhYXcl31seg-dBXrfN40H-u52vTfJZcFrWIOnKdBpZ_zhC-iHi9kOIl3sk7PG02U0He4c4hGfbUw0NkF0mK94RS5a4xFGv3NIVo8Py9lzMV88vcym88KKSqSi5VaJRo3bygBnVrbQsAmrGlDGVrosBZuUTAPXHNhaWQaZH4u1VtIazbJgSG5Of_cxfPaAqd6GPmbHWMucDBNlKXWm5ImyMSBGaOt9dDsTDzVn9THo-p-g5Q_3enWV</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Zhu, Yunzhou</creator><creator>Nie, Huan</creator><creator>Liu, Qian</creator><creator>Yang, Yi</creator><creator>Zhang, Jianlei</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20240701</creationdate><title>Research on the Use of an Ocean Turbulence Bubble Simulation Model to Analyze Wireless Optical Transmission Characteristics</title><author>Zhu, Yunzhou ; 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Currently, the phase screen simulation model constrains the range of turbulent vortex scales that can be analyzed, and the mutual restrictions of the phase screen parameters are not suitable for use on large-scale turbulent vortices. Referring to the formation process of turbulent vortices based on Kolmogorov’s turbulence structure energy theory, this study abstractly models the process and simulates the ocean turbulence effect as a spherical bubble with turbulent refractive index fluctuations using the Monte Carlo method, which is verified by fitting the probability distribution function of the received light intensity. The influence of the turbulence bubble model’s parameters on light intensity undulation and logarithmic intensity variance, as well as the relationship between logarithmic intensity variance and the equivalent structural constant, are then studied. An equivalent structural constant model of ocean turbulence represented by the bubble model’s parameters is established, which link the theoretical values with simulation values of the transmission characteristics. The simulation results show that the spherical bubble model’s simulation of ocean turbulence is effective and accurate; therefore, the model can provide an effective Monte Carlo simulation method for analyzing the impact of ocean turbulence channel parameters of the large-scale turbulent vortices on wireless underwater optical transmission characteristics.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/electronics13132626</doi><oa>free_for_read</oa></addata></record> |
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subjects | Communication Communications systems Distribution functions Energy distribution Energy theory Equivalence Hydrology Impact analysis Laser beams Logarithms Luminous intensity Monte Carlo simulation Normal distribution Ocean models Oceanic analysis Probability distribution functions Process parameters Propagation Refractivity Salinity Seawater Simulation models Turbulence Turbulent flow Underwater communication Variance Vortices Wireless communications |
title | Research on the Use of an Ocean Turbulence Bubble Simulation Model to Analyze Wireless Optical Transmission Characteristics |
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