Machine learning-based reflection coefficient and impedance prediction for a meandered slot patch antenna

Machine learning-based reflection coefficient and impedance prediction for a meandered slot patch antenna

This article presents a real-time tuning approach for the impedance matching circuit of a slotted patch antenna across a broad frequency spectrum. A regression-based machine learning (ML) model is developed to replace costly and time-consuming VNA-based measurements. The model predicts matching ci...

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Bibliographic Details
Main Authors: Al Gburi, Ahmed Jamal Abdullah, Gupta, Anupma, Kumar, Vipan, Garg, Dinesh Kumar
Format: Article
Language:en
Published: Elsevier Ltd 2025
Online Access:http://eprints.utem.edu.my/id/eprint/29035/3/02702260420251638321764.pdf
http://eprints.utem.edu.my/id/eprint/29035/
https://pdf.sciencedirectassets.com/271987/1-s2.0-S1369800124X00141/1-s2.0-S1369800124011417/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEAIaCXVzLWVhc3QtMSJHMEUCIDzGa2E%2FFIIcyWPOtAN%2BD%2FqqUd7u6FwFgeh1k8RrEKyXAiEAsH926RF9KLABrlJLPhP28xlQQ8Ha9w2VYJPRwFEh0jEqvAUIm%2F%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAFGgwwNTkwMDM1NDY4NjUiDN9jOiQNtSkTMCJXGiqQBXrVTg8ROtwY%2BJJ3HCbFcENMWiPJEdnHH0ilUwHLKdLRGnb%2BzTBaFor4CUeYKRe%2Fda6IvB2SS0anXc36%2F%2FzDrM%2FjV6hHvkpu4uZfpLs5fts6bGzmhHAxWGQAM3JBK7K4DmEGsvYlwD9VoN1Q9s1CI87dHBYsIAbu5TsWvINbYL9iavs1YL5lgfJG86bE%2BzjSPr42HOdZUj5OunwlA6XHMNyVQp%2BevyW%2B%2F5DF79pRNCLPwNzlBu6KZPorQ7LS6F5alf2KIZQLFyaOGycSd4TEFVpz2bi3WcETyfdQiNEE4GTvNvTp8jr0rOt9oCd3FDGQXUYTi9q8eZ%2FG8Mp1QznnSZNIfRI0ZP%2FiNhJlsH7zePyoP3DIPVNWRlbBySjum3ARtPfe33a7tNs3lhnLLVaIZCQCLRQVrTM1ZBg60TXwEUF7p%2BAmhz7oW7waBU41mjWyYzbE9TwoWjXtuDiV38oYKCF00vff2%2FqC3Uv6izRJvb51KpXPCRZLXtCztNKKjFiBRSCT6f1ye8uH1oaRFGthj5X5xGA%2Fgpnu8FHqi%2Bj4qPSFgjbo5cabhoFoxuxNsIHRBo%2F%2F1XwV8MhfOnGeOLLHaI2NIy%2FgHAe6iweIbN18VlpcXVNHegJIj8JP8umI6w6T2WX7ik7vm2kLq2QCZDW0IEvIeFwkOAg8ia4LKZ%2F8EPu%2FpaQ9ma2p2AnzSoZDJKuVR9bW6vcCu8EGobnCPNgY%2F%2BpaJkN2l5wJiFHgbyPDTdvc7u53UBMuqk0QZmhrXFoLZLBzz9FJxYBANwcacWEIMNSY3UtZeRBIfxSs4ZE7P603sM1R2e7TtYuRl35sD5d%2B7qOFONfMZvwXkXGzjH4MA5ODCs3UbZgZ%2F2w702lH4%2B6dMIvZkccGOrEBExwhJBJK%2FFRutKvl0y3w4xczVj30rc8USAq5YySSkFMrWzjuaGl2kPjtUqs6Wq%2Feae3KzWSfC%2BndFO948hA%2F9yaDpb252NGOg5wisSeBTNlWd6BMU3g5LSMKvqMNXW4tucLpH%2Fw8Xfnr%2FN30MaQiSI7rQJO0rUFewPs39WvO7qJbs6v%2FiVVy8gBTtsk1Yq%2BVSKnmX7Lno5tQkhXWyRO7UqMIIg6HmGWD9IqTdZP2S4Ac&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20251007T023325Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYQRH5KWRJ%2F20251007%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=3bd0c1f2763da086a74da0ee9f544f817b20897e7315d31851afad655be7ca92&hash=d2796127d16ba169a38348c0c3064490f653bb68f48de6f6503368a6ba952b15&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1369800124011417&tid=spdf-18fabb93-fc17-4813-b478-d2c89f041ace&sid=0166af4a5b90394f5b48991550281212dac1gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=171b5d59045a090b575d&rr=98a9fe527894fd9e&cc=my
https://doi.org/10.1016/j.mssp.2024.10924
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http://eprints.utem.edu.my/id/eprint/29035/3/02702260420251638321764.pdf
http://eprints.utem.edu.my/id/eprint/29035/
https://pdf.sciencedirectassets.com/271987/1-s2.0-S1369800124X00141/1-s2.0-S1369800124011417/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEAIaCXVzLWVhc3QtMSJHMEUCIDzGa2E%2FFIIcyWPOtAN%2BD%2FqqUd7u6FwFgeh1k8RrEKyXAiEAsH926RF9KLABrlJLPhP28xlQQ8Ha9w2VYJPRwFEh0jEqvAUIm%2F%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAFGgwwNTkwMDM1NDY4NjUiDN9jOiQNtSkTMCJXGiqQBXrVTg8ROtwY%2BJJ3HCbFcENMWiPJEdnHH0ilUwHLKdLRGnb%2BzTBaFor4CUeYKRe%2Fda6IvB2SS0anXc36%2F%2FzDrM%2FjV6hHvkpu4uZfpLs5fts6bGzmhHAxWGQAM3JBK7K4DmEGsvYlwD9VoN1Q9s1CI87dHBYsIAbu5TsWvINbYL9iavs1YL5lgfJG86bE%2BzjSPr42HOdZUj5OunwlA6XHMNyVQp%2BevyW%2B%2F5DF79pRNCLPwNzlBu6KZPorQ7LS6F5alf2KIZQLFyaOGycSd4TEFVpz2bi3WcETyfdQiNEE4GTvNvTp8jr0rOt9oCd3FDGQXUYTi9q8eZ%2FG8Mp1QznnSZNIfRI0ZP%2FiNhJlsH7zePyoP3DIPVNWRlbBySjum3ARtPfe33a7tNs3lhnLLVaIZCQCLRQVrTM1ZBg60TXwEUF7p%2BAmhz7oW7waBU41mjWyYzbE9TwoWjXtuDiV38oYKCF00vff2%2FqC3Uv6izRJvb51KpXPCRZLXtCztNKKjFiBRSCT6f1ye8uH1oaRFGthj5X5xGA%2Fgpnu8FHqi%2Bj4qPSFgjbo5cabhoFoxuxNsIHRBo%2F%2F1XwV8MhfOnGeOLLHaI2NIy%2FgHAe6iweIbN18VlpcXVNHegJIj8JP8umI6w6T2WX7ik7vm2kLq2QCZDW0IEvIeFwkOAg8ia4LKZ%2F8EPu%2FpaQ9ma2p2AnzSoZDJKuVR9bW6vcCu8EGobnCPNgY%2F%2BpaJkN2l5wJiFHgbyPDTdvc7u53UBMuqk0QZmhrXFoLZLBzz9FJxYBANwcacWEIMNSY3UtZeRBIfxSs4ZE7P603sM1R2e7TtYuRl35sD5d%2B7qOFONfMZvwXkXGzjH4MA5ODCs3UbZgZ%2F2w702lH4%2B6dMIvZkccGOrEBExwhJBJK%2FFRutKvl0y3w4xczVj30rc8USAq5YySSkFMrWzjuaGl2kPjtUqs6Wq%2Feae3KzWSfC%2BndFO948hA%2F9yaDpb252NGOg5wisSeBTNlWd6BMU3g5LSMKvqMNXW4tucLpH%2Fw8Xfnr%2FN30MaQiSI7rQJO0rUFewPs39WvO7qJbs6v%2FiVVy8gBTtsk1Yq%2BVSKnmX7Lno5tQkhXWyRO7UqMIIg6HmGWD9IqTdZP2S4Ac&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20251007T023325Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYQRH5KWRJ%2F20251007%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=3bd0c1f2763da086a74da0ee9f544f817b20897e7315d31851afad655be7ca92&hash=d2796127d16ba169a38348c0c3064490f653bb68f48de6f6503368a6ba952b15&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1369800124011417&tid=spdf-18fabb93-fc17-4813-b478-d2c89f041ace&sid=0166af4a5b90394f5b48991550281212dac1gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=171b5d59045a090b575d&rr=98a9fe527894fd9e&cc=my
https://doi.org/10.1016/j.mssp.2024.10924

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