Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimization
Abstract A novel approach is introduced for designing a miniaturized wearable antenna. Utilizing Taguchi’s philosophy typically entails numerous experimentations runs, but our method significantly reduces these by employing a quasi-Newton approach with gradient descent to estimate process parameter...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-83864-9 |
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| author | Archana Tiwari Aleefia A. Khurshid Kanhaiya Sharma |
| author_facet | Archana Tiwari Aleefia A. Khurshid Kanhaiya Sharma |
| author_sort | Archana Tiwari |
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| description | Abstract A novel approach is introduced for designing a miniaturized wearable antenna. Utilizing Taguchi’s philosophy typically entails numerous experimentations runs, but our method significantly reduces these by employing a quasi-Newton approach with gradient descent to estimate process parameter ranges. This hybrid technique expedites convergence by streamlining experiments. Additionally, the Taguchi array ensures a balanced design, equalizing factor weights. Unlike conventional Taguchi methods, which risk trapping optimized results at local minima with increased repetitions, our modified technique mitigates this issue by adjusting level differences, aiming for global minima. Antenna design often involves competing objectives, such as size, impedance matching, cross-polarization, directivity, and frequency range. This study addresses these multiobjective challenges using a hybrid approach. The proposed method is applied to design and fabricate a biosafe miniaturized antenna for integration into clothing. The comparison of computed and measured antenna parameters confirms the accuracy of our solution while demonstrating a reduction in the required number of experiments. This innovative approach significantly advances the efficient design of wearable antennas. The biosafe wearable antenna demonstrated compliant specific absorption rate (SAR) (1.2 W/kg), robust mechanical performance (up to 40° bending), and underwent human body effect investigation. Comparison of computed and measured antenna parameters confirms solution accuracy. By implementing the proposed hybrid approach, computational time is significantly reduced by 98%, outperforming electromagnetic (EM) solvers’ built-in optimization. |
| format | Article |
| id | doaj-art-c6aacba200dd49a79f5b4ae277f4c0f9 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-c6aacba200dd49a79f5b4ae277f4c0f92025-01-05T12:17:08ZengNature PortfolioScientific Reports2045-23222025-01-0115111610.1038/s41598-024-83864-9Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimizationArchana Tiwari0Aleefia A. Khurshid1Kanhaiya Sharma2Department of Electronics Engineering, Shri Ramdeobaba College of Engineering and ManagementDepartment of Electronics Engineering, Shri Ramdeobaba College of Engineering and ManagementDepartment of Computer Science and Engineering, Symbiosis Institute of Technology, Symbiosis University PuneAbstract A novel approach is introduced for designing a miniaturized wearable antenna. Utilizing Taguchi’s philosophy typically entails numerous experimentations runs, but our method significantly reduces these by employing a quasi-Newton approach with gradient descent to estimate process parameter ranges. This hybrid technique expedites convergence by streamlining experiments. Additionally, the Taguchi array ensures a balanced design, equalizing factor weights. Unlike conventional Taguchi methods, which risk trapping optimized results at local minima with increased repetitions, our modified technique mitigates this issue by adjusting level differences, aiming for global minima. Antenna design often involves competing objectives, such as size, impedance matching, cross-polarization, directivity, and frequency range. This study addresses these multiobjective challenges using a hybrid approach. The proposed method is applied to design and fabricate a biosafe miniaturized antenna for integration into clothing. The comparison of computed and measured antenna parameters confirms the accuracy of our solution while demonstrating a reduction in the required number of experiments. This innovative approach significantly advances the efficient design of wearable antennas. The biosafe wearable antenna demonstrated compliant specific absorption rate (SAR) (1.2 W/kg), robust mechanical performance (up to 40° bending), and underwent human body effect investigation. Comparison of computed and measured antenna parameters confirms solution accuracy. By implementing the proposed hybrid approach, computational time is significantly reduced by 98%, outperforming electromagnetic (EM) solvers’ built-in optimization.https://doi.org/10.1038/s41598-024-83864-9Microstrip antennaFlexible antennaTaguchi algorithmOptimization |
| spellingShingle | Archana Tiwari Aleefia A. Khurshid Kanhaiya Sharma Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimization Scientific Reports Microstrip antenna Flexible antenna Taguchi algorithm Optimization |
| title | Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimization |
| title_full | Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimization |
| title_fullStr | Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimization |
| title_full_unstemmed | Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimization |
| title_short | Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimization |
| title_sort | compact wearable microstrip antenna design using hybrid quasi newton and taguchi optimization |
| topic | Microstrip antenna Flexible antenna Taguchi algorithm Optimization |
| url | https://doi.org/10.1038/s41598-024-83864-9 |
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