Deep Learning Framework for the Design of Orbital Angular Momentum Generators Enabled by Leaky-wave Holograms Article Swipe
Naser Omrani
,
Fardin Ghorbani
,
Sina Beyraghi
,
Homayoon Oraizi
,
Hossein Soleimani
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2304.12695
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2304.12695
In this paper, we present a novel approach for the design of leaky-wave holographic antennas that generates OAM-carrying electromagnetic waves by combining Flat Optics (FO) and machine learning (ML) techniques. To improve the performance of our system, we use a machine learning technique to discover a mathematical function that can effectively control the entire radiation pattern, i.e., decrease the side lobe level (SLL) while simultaneously increasing the central null depth of the radiation pattern. Precise tuning of the parameters of the impedance equation based on holographic theory is necessary to achieve optimal results in a variety of scenarios. In this research, we applied machine learning to determine the approximate values of the parameters. We can determine the optimal values for each parameter, resulting in the desired radiation pattern, using a total of 77,000 generated datasets. Furthermore, the use of ML not only saves time, but also yields more precise and accurate results than manual parameter tuning and conventional optimization methods.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2304.12695
- https://arxiv.org/pdf/2304.12695
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4367060808
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4367060808Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2304.12695Digital Object Identifier
- Title
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Deep Learning Framework for the Design of Orbital Angular Momentum Generators Enabled by Leaky-wave HologramsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-25Full publication date if available
- Authors
-
Naser Omrani, Fardin Ghorbani, Sina Beyraghi, Homayoon Oraizi, Hossein SoleimaniList of authors in order
- Landing page
-
https://arxiv.org/abs/2304.12695Publisher landing page
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https://arxiv.org/pdf/2304.12695Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2304.12695Direct OA link when available
- Concepts
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Holography, Computer science, Radiation, Angular momentum, Side lobe, Function (biology), Electromagnetic radiation, Optics, Physics, Telecommunications, Quantum mechanics, Antenna (radio), Evolutionary biology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.increasing | 65 |
| abstract_inverted_index.leaky-wave | 12 |
| abstract_inverted_index.parameter, | 121 |
| abstract_inverted_index.parameters | 78 |
| abstract_inverted_index.scenarios. | 97 |
| abstract_inverted_index.approximate | 108 |
| abstract_inverted_index.effectively | 50 |
| abstract_inverted_index.holographic | 13, 85 |
| abstract_inverted_index.parameters. | 112 |
| abstract_inverted_index.performance | 33 |
| abstract_inverted_index.techniques. | 29 |
| abstract_inverted_index.Furthermore, | 135 |
| abstract_inverted_index.OAM-carrying | 17 |
| abstract_inverted_index.conventional | 157 |
| abstract_inverted_index.mathematical | 46 |
| abstract_inverted_index.optimization | 158 |
| abstract_inverted_index.simultaneously | 64 |
| abstract_inverted_index.electromagnetic | 18 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile |