A THz Waveguide Bandpass Filter Design Using an Artificial Neural Network
This paper presents a 300 GHz waveguide bandpass filter based on asymmetric inductive irises. The coupling matrix synthesis technique is used to design a 6-pole Chebyshev filter. In addition, an artificial neural network is applied to provide the filter geometries using the desired frequency respons...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
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| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/13/6/841 |
| _version_ | 1797484335427747840 |
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| author | Chu-Hsuan Lin Yu-Hsiang Cheng |
| author_facet | Chu-Hsuan Lin Yu-Hsiang Cheng |
| author_sort | Chu-Hsuan Lin |
| collection | DOAJ |
| description | This paper presents a 300 GHz waveguide bandpass filter based on asymmetric inductive irises. The coupling matrix synthesis technique is used to design a 6-pole Chebyshev filter. In addition, an artificial neural network is applied to provide the filter geometries using the desired frequency response. The optimized filter is fabricated by the computer numeric controlled milling process. The measurement results show that the insertion loss is less than 3 dB and the return loss is better than 17 dB in the range 276–310 GHz. |
| first_indexed | 2024-03-09T23:02:02Z |
| format | Article |
| id | doaj.art-736f5f32efc143dfb92045fbe6e36c14 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-09T23:02:02Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-736f5f32efc143dfb92045fbe6e36c142023-11-23T18:00:14ZengMDPI AGMicromachines2072-666X2022-05-0113684110.3390/mi13060841A THz Waveguide Bandpass Filter Design Using an Artificial Neural NetworkChu-Hsuan Lin0Yu-Hsiang Cheng1Graduate Institute of Communication Engineering, National Taiwan University, Taipei City 10617, TaiwanGraduate Institute of Communication Engineering, National Taiwan University, Taipei City 10617, TaiwanThis paper presents a 300 GHz waveguide bandpass filter based on asymmetric inductive irises. The coupling matrix synthesis technique is used to design a 6-pole Chebyshev filter. In addition, an artificial neural network is applied to provide the filter geometries using the desired frequency response. The optimized filter is fabricated by the computer numeric controlled milling process. The measurement results show that the insertion loss is less than 3 dB and the return loss is better than 17 dB in the range 276–310 GHz.https://www.mdpi.com/2072-666X/13/6/841terahertzwaveguide bandpass filterartificial neural network |
| spellingShingle | Chu-Hsuan Lin Yu-Hsiang Cheng A THz Waveguide Bandpass Filter Design Using an Artificial Neural Network Micromachines terahertz waveguide bandpass filter artificial neural network |
| title | A THz Waveguide Bandpass Filter Design Using an Artificial Neural Network |
| title_full | A THz Waveguide Bandpass Filter Design Using an Artificial Neural Network |
| title_fullStr | A THz Waveguide Bandpass Filter Design Using an Artificial Neural Network |
| title_full_unstemmed | A THz Waveguide Bandpass Filter Design Using an Artificial Neural Network |
| title_short | A THz Waveguide Bandpass Filter Design Using an Artificial Neural Network |
| title_sort | thz waveguide bandpass filter design using an artificial neural network |
| topic | terahertz waveguide bandpass filter artificial neural network |
| url | https://www.mdpi.com/2072-666X/13/6/841 |
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