{"title":"利用优化的注意力网络为生物医学应用设计带有 U 型槽的超宽带定向反向 Vivaldi 天线","authors":"Nishant Madhukar Borkar, Pallavi Keshavrao Parlewar","doi":"10.1515/freq-2024-0063","DOIUrl":null,"url":null,"abstract":"This research introduces a compact Ultra-Wideband (UWB) antipodal Vivaldi antenna with a U-slot tailored for biomedical applications. Utilizing an elliptical tapered patch variation on a 50*32 mm<jats:sup>2</jats:sup> substrate achieves its compact design. Parameter optimization, employing the Multi-Layer Stacked Shallow Attention Neural Network (MLSSANN) with Adaptive Gannet Optimization Algorithm (AGOA), ensures accurate predictions and efficient exploration of the design space. Performance analysis includes metrics like gain, directivity, reflection coefficients, return loss and radiation efficiency. The U-slot variant exhibits higher gain peaking at 24.5 GHz (10 dB) compared to the standard variant peaking near 37 GHz (13.7 dB). The U-slot antenna also shows improved directivity and return loss, with a 13.89 % enhancement in return loss at 3.7 GHz. Moreover, the addition of the slot shifts the lower cut-off frequency from 1,580 MHz to 740 MHz, reducing the antenna size by 41 % while maintaining acceptable radiation characteristics.","PeriodicalId":55143,"journal":{"name":"Frequenz","volume":"42 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Designing an ultra-wideband directional antipodal Vivaldi antenna with U-slots for biomedical applications using an optimized attention network\",\"authors\":\"Nishant Madhukar Borkar, Pallavi Keshavrao Parlewar\",\"doi\":\"10.1515/freq-2024-0063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research introduces a compact Ultra-Wideband (UWB) antipodal Vivaldi antenna with a U-slot tailored for biomedical applications. Utilizing an elliptical tapered patch variation on a 50*32 mm<jats:sup>2</jats:sup> substrate achieves its compact design. Parameter optimization, employing the Multi-Layer Stacked Shallow Attention Neural Network (MLSSANN) with Adaptive Gannet Optimization Algorithm (AGOA), ensures accurate predictions and efficient exploration of the design space. Performance analysis includes metrics like gain, directivity, reflection coefficients, return loss and radiation efficiency. The U-slot variant exhibits higher gain peaking at 24.5 GHz (10 dB) compared to the standard variant peaking near 37 GHz (13.7 dB). The U-slot antenna also shows improved directivity and return loss, with a 13.89 % enhancement in return loss at 3.7 GHz. Moreover, the addition of the slot shifts the lower cut-off frequency from 1,580 MHz to 740 MHz, reducing the antenna size by 41 % while maintaining acceptable radiation characteristics.\",\"PeriodicalId\":55143,\"journal\":{\"name\":\"Frequenz\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frequenz\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1515/freq-2024-0063\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frequenz","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1515/freq-2024-0063","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Designing an ultra-wideband directional antipodal Vivaldi antenna with U-slots for biomedical applications using an optimized attention network
This research introduces a compact Ultra-Wideband (UWB) antipodal Vivaldi antenna with a U-slot tailored for biomedical applications. Utilizing an elliptical tapered patch variation on a 50*32 mm2 substrate achieves its compact design. Parameter optimization, employing the Multi-Layer Stacked Shallow Attention Neural Network (MLSSANN) with Adaptive Gannet Optimization Algorithm (AGOA), ensures accurate predictions and efficient exploration of the design space. Performance analysis includes metrics like gain, directivity, reflection coefficients, return loss and radiation efficiency. The U-slot variant exhibits higher gain peaking at 24.5 GHz (10 dB) compared to the standard variant peaking near 37 GHz (13.7 dB). The U-slot antenna also shows improved directivity and return loss, with a 13.89 % enhancement in return loss at 3.7 GHz. Moreover, the addition of the slot shifts the lower cut-off frequency from 1,580 MHz to 740 MHz, reducing the antenna size by 41 % while maintaining acceptable radiation characteristics.
期刊介绍:
Frequenz is one of the leading scientific and technological journals covering all aspects of RF-, Microwave-, and THz-Engineering. It is a peer-reviewed, bi-monthly published journal.
Frequenz was first published in 1947 with a circulation of 7000 copies, focusing on telecommunications. Today, the major objective of Frequenz is to highlight current research activities and development efforts in RF-, Microwave-, and THz-Engineering throughout a wide frequency spectrum ranging from radio via microwave up to THz frequencies.
RF-, Microwave-, and THz-Engineering is a very active area of Research & Development as well as of Applications in a wide variety of fields. It has been the key to enabling technologies responsible for phenomenal growth of satellite broadcasting, wireless communications, satellite and terrestrial mobile communications and navigation, high-speed THz communication systems. It will open up new technologies in communications, radar, remote sensing and imaging, in identification and localization as well as in sensors, e.g. for wireless industrial process and environmental monitoring as well as for biomedical sensing.