Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1364/OE.389210 |
Identifying structured light modes in a desert environment using machine learning algorithms | |
Ragheb, Amr1; Saif, Waddah1,2; Trichili, Abderrahmen3; Ashry, Islam3; Esmail, Maged A.4; Altamimi, Majid2; Almaiman, Ahmed2; Altubaishi, Essam2; Ooi, Boon S.3; Alouini, Mohamed-Slim3; Alshebeili, Saleh1,2 | |
通讯作者 | Ragheb, Amr |
来源期刊 | OPTICS EXPRESS
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ISSN | 1094-4087 |
出版年 | 2020 |
卷号 | 28期号:7页码:9753-+ |
英文摘要 | The unique orthogonal shapes of structured light beams have attracted researchers to use as information carriers. Structured light-based free space optical communication is subject to atmospheric propagation effects such as rain, fog, and rain, which complicate the mode demultiplexing process using conventional technology. In this context, we experimentally investigate the detection of Laguerre Gaussian and Hermite Gaussian beams under dust storm conditions using machine learning algorithms. Different algorithms are employed to detect various structured light encoding schemes including the use of a convolutional neural network (CNN), support vector machine, and k-nearest neighbor. We report an identification accuracy of 99% under a visibility level of 9 m. The CNN approach is further used to estimate the visibility range of a dusty communication channel. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement |
类型 | Article |
语种 | 英语 |
国家 | Saudi Arabia |
开放获取类型 | Green Published, gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000523766500061 |
WOS关键词 | ORBITAL ANGULAR-MOMENTUM ; TURBULENCE ; COMMUNICATION ; LINK ; TRANSMISSION ; PERFORMANCE |
WOS类目 | Optics |
WOS研究方向 | Optics |
来源机构 | King Saud University |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/315251 |
作者单位 | 1.King Saud Univ, KACST TIC Radio Frequency & Photon E Soc, Riyadh 11421, Saudi Arabia; 2.King Saud Univ, Dept Elect Engn, Riyadh 11421, Saudi Arabia; 3.King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn, Thuwal 239556900, Saudi Arabia; 4.Prince Sultan Univ, Fac Engn, Commun & Networks Engn Dept, Riyadh 11586, Saudi Arabia |
推荐引用方式 GB/T 7714 | Ragheb, Amr,Saif, Waddah,Trichili, Abderrahmen,et al. Identifying structured light modes in a desert environment using machine learning algorithms[J]. King Saud University,2020,28(7):9753-+. |
APA | Ragheb, Amr.,Saif, Waddah.,Trichili, Abderrahmen.,Ashry, Islam.,Esmail, Maged A..,...&Alshebeili, Saleh.(2020).Identifying structured light modes in a desert environment using machine learning algorithms.OPTICS EXPRESS,28(7),9753-+. |
MLA | Ragheb, Amr,et al."Identifying structured light modes in a desert environment using machine learning algorithms".OPTICS EXPRESS 28.7(2020):9753-+. |
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