Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks
Recently, high-performance multi-channel microstrip filters are widely demanded by modern multi-service communication systems. Designing these filters with both compact size and low loss is a challenge for the researchers. In this paper and for the first time, we have proposed a novel method based o...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/103379/1/MohdHaizalJamaluddin2022_DesigningHighPerformanceMicrostrip.pdf |
| _version_ | 1796867449459572736 |
|---|---|
| author | Rezaei, Abbas Yahya, Salah Ismaeel Noori, Leila Jamaluddin, Mohd. Haizal |
| author_facet | Rezaei, Abbas Yahya, Salah Ismaeel Noori, Leila Jamaluddin, Mohd. Haizal |
| author_sort | Rezaei, Abbas |
| collection | ePrints |
| description | Recently, high-performance multi-channel microstrip filters are widely demanded by modern multi-service communication systems. Designing these filters with both compact size and low loss is a challenge for the researchers. In this paper and for the first time, we have proposed a novel method based on artificial neural network to design and simulate multichannel microstrip bandpass filters. For this purpose, the frequency, physical dimensions, and substrate parameters, i.e., type and thickness, of the BPF are selected as the inputs and the S-parameters, i.e. S11 and S21, are selected as the outputs of the proposed model. Using an accurate multilayer perceptron neural network trained with back-propagation technique, a high-performance microstrip quad-band bandpass filter (QB-BPF) is designed which has a novel compact structure consisting of meandrous spirals, coupled lines, and patch feeds. The proposed method can be easily used for designing other microstrip devices such as filters, couplers, and diplexers. The designed filter occupies a very small area of 0.0012 λg2, which is the smallest size in comparison with previously published works. It operates at 0.7, 2.2, 3.8, and 5.6 GHz for communication systems. The low insertion loss, high return losses, low group delay, and good frequency selectivity are obtained. To verify the design method and simulation results, the introduced filter is fabricated and measured. The results show an agreement between the simulation and measurement. |
| first_indexed | 2024-03-05T21:27:25Z |
| format | Article |
| id | utm.eprints-103379 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:27:25Z |
| publishDate | 2022 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| record_format | dspace |
| spelling | utm.eprints-1033792023-11-01T09:25:58Z http://eprints.utm.my/103379/ Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks Rezaei, Abbas Yahya, Salah Ismaeel Noori, Leila Jamaluddin, Mohd. Haizal TK Electrical engineering. Electronics Nuclear engineering Recently, high-performance multi-channel microstrip filters are widely demanded by modern multi-service communication systems. Designing these filters with both compact size and low loss is a challenge for the researchers. In this paper and for the first time, we have proposed a novel method based on artificial neural network to design and simulate multichannel microstrip bandpass filters. For this purpose, the frequency, physical dimensions, and substrate parameters, i.e., type and thickness, of the BPF are selected as the inputs and the S-parameters, i.e. S11 and S21, are selected as the outputs of the proposed model. Using an accurate multilayer perceptron neural network trained with back-propagation technique, a high-performance microstrip quad-band bandpass filter (QB-BPF) is designed which has a novel compact structure consisting of meandrous spirals, coupled lines, and patch feeds. The proposed method can be easily used for designing other microstrip devices such as filters, couplers, and diplexers. The designed filter occupies a very small area of 0.0012 λg2, which is the smallest size in comparison with previously published works. It operates at 0.7, 2.2, 3.8, and 5.6 GHz for communication systems. The low insertion loss, high return losses, low group delay, and good frequency selectivity are obtained. To verify the design method and simulation results, the introduced filter is fabricated and measured. The results show an agreement between the simulation and measurement. Springer Science and Business Media Deutschland GmbH 2022-05 Article PeerReviewed application/pdf en http://eprints.utm.my/103379/1/MohdHaizalJamaluddin2022_DesigningHighPerformanceMicrostrip.pdf Rezaei, Abbas and Yahya, Salah Ismaeel and Noori, Leila and Jamaluddin, Mohd. Haizal (2022) Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks. Neural Computing and Applications, 34 (10). pp. 7507-7521. ISSN 0941-0643 http://dx.doi.org/10.1007/s00521-021-06879-7 DOI:10.1007/s00521-021-06879-7 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Rezaei, Abbas Yahya, Salah Ismaeel Noori, Leila Jamaluddin, Mohd. Haizal Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks |
| title | Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks |
| title_full | Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks |
| title_fullStr | Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks |
| title_full_unstemmed | Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks |
| title_short | Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks |
| title_sort | designing high performance microstrip quad band bandpass filters for multi service communication systems a novel method based on artificial neural networks |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/103379/1/MohdHaizalJamaluddin2022_DesigningHighPerformanceMicrostrip.pdf |
| work_keys_str_mv | AT rezaeiabbas designinghighperformancemicrostripquadbandbandpassfiltersformultiservicecommunicationsystemsanovelmethodbasedonartificialneuralnetworks AT yahyasalahismaeel designinghighperformancemicrostripquadbandbandpassfiltersformultiservicecommunicationsystemsanovelmethodbasedonartificialneuralnetworks AT noorileila designinghighperformancemicrostripquadbandbandpassfiltersformultiservicecommunicationsystemsanovelmethodbasedonartificialneuralnetworks AT jamaluddinmohdhaizal designinghighperformancemicrostripquadbandbandpassfiltersformultiservicecommunicationsystemsanovelmethodbasedonartificialneuralnetworks |