Image Classifier Based Generative Method for Planar Antenna Design
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866909070890369024 |
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| author | Zhong, Yang Dou, Weiping Cohen, Andrew Bisharat, Dia'a Tian, Yuandong Zhu, Jiang Liu, Qing Huo |
| author_facet | Zhong, Yang Dou, Weiping Cohen, Andrew Bisharat, Dia'a Tian, Yuandong Zhu, Jiang Liu, Qing Huo |
| contents | To extend the antenna design on printed circuit boards (PCBs) for more engineers of interest, we propose a simple method that models PCB antennas with a few basic components. By taking two separate steps to decide their geometric dimensions and positions, antenna prototypes can be facilitated with no experience required. Random sampling statistics relate to the quality of dimensions are used in selecting among dimension candidates. A novel image-based classifier using a convolutional neural network (CNN) is introduced to further determine the positions of these fixed-dimension components. Two examples from wearable products have been chosen to examine the entire workflow. Their final designs are realistic and their performance metrics are not inferior to the ones designed by experienced engineers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_06149 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Image Classifier Based Generative Method for Planar Antenna Design Zhong, Yang Dou, Weiping Cohen, Andrew Bisharat, Dia'a Tian, Yuandong Zhu, Jiang Liu, Qing Huo Computer Vision and Pattern Recognition Machine Learning Image and Video Processing To extend the antenna design on printed circuit boards (PCBs) for more engineers of interest, we propose a simple method that models PCB antennas with a few basic components. By taking two separate steps to decide their geometric dimensions and positions, antenna prototypes can be facilitated with no experience required. Random sampling statistics relate to the quality of dimensions are used in selecting among dimension candidates. A novel image-based classifier using a convolutional neural network (CNN) is introduced to further determine the positions of these fixed-dimension components. Two examples from wearable products have been chosen to examine the entire workflow. Their final designs are realistic and their performance metrics are not inferior to the ones designed by experienced engineers. |
| title | Image Classifier Based Generative Method for Planar Antenna Design |
| topic | Computer Vision and Pattern Recognition Machine Learning Image and Video Processing |
| url | https://arxiv.org/abs/2401.06149 |