Coupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders
The tuning of microwave filter is important and complex. Extracting coupling matrix from given S-parameters is a core task for filter tuning. In this article, one-dimensional convolutional autoencoders (1D-CAEs) are proposed to extract coupling matrix from S-parameters of narrow-band cavity filter a...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:eeda4718858045b3a26879a4eca6b0522021-11-11T12:15:09ZCoupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders2296-424X10.3389/fphy.2021.716881https://doaj.org/article/eeda4718858045b3a26879a4eca6b0522021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fphy.2021.716881/fullhttps://doaj.org/toc/2296-424XThe tuning of microwave filter is important and complex. Extracting coupling matrix from given S-parameters is a core task for filter tuning. In this article, one-dimensional convolutional autoencoders (1D-CAEs) are proposed to extract coupling matrix from S-parameters of narrow-band cavity filter and apply this method to the computer-aided tuning process. The training of 1D-CAE model consists of two steps. First, in the encoding part, one-dimensional convolutional neural network (1D-CNN) with several convolution layers and pooling layers is used to extract the coupling matrix from the S-parameters during the microwave filters’ tuning procedure. Second, in the decoding part, several full connection layers are employed to reconstruct the S-parameters to ensure the accuracy of extraction. The S-parameters obtained by measurement or simulation exist with phase shift, so the influence of phase shift must be removed. The efficiency of the presented method in this article is validated by a sixth-order cross-coupled filter simulation model tuning example.Yongliang ZhangYongliang ZhangYanxing WangYaxin YiJunlin WangJie LiuZhixi ChenFrontiers Media S.A.articlemicrowave filtercoupling matrixone-dimensional convolutional autoencodersphase shiftcomputer-aided tuningPhysicsQC1-999ENFrontiers in Physics, Vol 9 (2021) |
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DOAJ |
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DOAJ |
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EN |
| topic |
microwave filter coupling matrix one-dimensional convolutional autoencoders phase shift computer-aided tuning Physics QC1-999 |
| spellingShingle |
microwave filter coupling matrix one-dimensional convolutional autoencoders phase shift computer-aided tuning Physics QC1-999 Yongliang Zhang Yongliang Zhang Yanxing Wang Yaxin Yi Junlin Wang Jie Liu Zhixi Chen Coupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders |
| description |
The tuning of microwave filter is important and complex. Extracting coupling matrix from given S-parameters is a core task for filter tuning. In this article, one-dimensional convolutional autoencoders (1D-CAEs) are proposed to extract coupling matrix from S-parameters of narrow-band cavity filter and apply this method to the computer-aided tuning process. The training of 1D-CAE model consists of two steps. First, in the encoding part, one-dimensional convolutional neural network (1D-CNN) with several convolution layers and pooling layers is used to extract the coupling matrix from the S-parameters during the microwave filters’ tuning procedure. Second, in the decoding part, several full connection layers are employed to reconstruct the S-parameters to ensure the accuracy of extraction. The S-parameters obtained by measurement or simulation exist with phase shift, so the influence of phase shift must be removed. The efficiency of the presented method in this article is validated by a sixth-order cross-coupled filter simulation model tuning example. |
| format |
article |
| author |
Yongliang Zhang Yongliang Zhang Yanxing Wang Yaxin Yi Junlin Wang Jie Liu Zhixi Chen |
| author_facet |
Yongliang Zhang Yongliang Zhang Yanxing Wang Yaxin Yi Junlin Wang Jie Liu Zhixi Chen |
| author_sort |
Yongliang Zhang |
| title |
Coupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders |
| title_short |
Coupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders |
| title_full |
Coupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders |
| title_fullStr |
Coupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders |
| title_full_unstemmed |
Coupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders |
| title_sort |
coupling matrix extraction of microwave filters by using one-dimensional convolutional autoencoders |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/eeda4718858045b3a26879a4eca6b052 |
| work_keys_str_mv |
AT yongliangzhang couplingmatrixextractionofmicrowavefiltersbyusingonedimensionalconvolutionalautoencoders AT yongliangzhang couplingmatrixextractionofmicrowavefiltersbyusingonedimensionalconvolutionalautoencoders AT yanxingwang couplingmatrixextractionofmicrowavefiltersbyusingonedimensionalconvolutionalautoencoders AT yaxinyi couplingmatrixextractionofmicrowavefiltersbyusingonedimensionalconvolutionalautoencoders AT junlinwang couplingmatrixextractionofmicrowavefiltersbyusingonedimensionalconvolutionalautoencoders AT jieliu couplingmatrixextractionofmicrowavefiltersbyusingonedimensionalconvolutionalautoencoders AT zhixichen couplingmatrixextractionofmicrowavefiltersbyusingonedimensionalconvolutionalautoencoders |
| _version_ |
1718439089241325568 |