{"title":"无线通信系统中单极连续方形贴片天线的人工神经网络优化","authors":"Sena Esen BAYER KESKİN, Cem GÜLER, Batuhan USLU","doi":"10.31202/ecjse.1247180","DOIUrl":null,"url":null,"abstract":"In recent years, Artificial Neural Network (ANN) applications in antenna structures have gained significant traction due to their potential to reduce design and calculation times, offering optimization and prediction capabilities. This study introduces a novel monopole patch antenna design featuring a consecutive square-shaped broadband microstrip-line-fed antenna. The proposed antenna exhibits an impressive impedance bandwidth of 68% (1.55 - 2.82 GHz), a remarkable return loss of -47.25 dB, and a directivity gain of 2.77 dBi. Simulation studies were conducted using CST™ Studio Suite electromagnetic simulation software. The ANN model developed based on feed-forward backpropagation demonstrates exceptional agreement with the simulation results, showcasing an accuracy of 99.61805% and performing 2769.231 times faster. With advancing technology, ANNs present an effective solution for addressing complex antenna design challenges arising from escalating data rate requirements and uninterrupted data transmission. These results open promising avenues for further advancements in antenna design aided by ANN applications.","PeriodicalId":52363,"journal":{"name":"El-Cezeri Journal of Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of Monopole Consecutive Square-Shaped Patch Antenna with ANN for Wireless Communicaton Systems\",\"authors\":\"Sena Esen BAYER KESKİN, Cem GÜLER, Batuhan USLU\",\"doi\":\"10.31202/ecjse.1247180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, Artificial Neural Network (ANN) applications in antenna structures have gained significant traction due to their potential to reduce design and calculation times, offering optimization and prediction capabilities. This study introduces a novel monopole patch antenna design featuring a consecutive square-shaped broadband microstrip-line-fed antenna. The proposed antenna exhibits an impressive impedance bandwidth of 68% (1.55 - 2.82 GHz), a remarkable return loss of -47.25 dB, and a directivity gain of 2.77 dBi. Simulation studies were conducted using CST™ Studio Suite electromagnetic simulation software. The ANN model developed based on feed-forward backpropagation demonstrates exceptional agreement with the simulation results, showcasing an accuracy of 99.61805% and performing 2769.231 times faster. With advancing technology, ANNs present an effective solution for addressing complex antenna design challenges arising from escalating data rate requirements and uninterrupted data transmission. These results open promising avenues for further advancements in antenna design aided by ANN applications.\",\"PeriodicalId\":52363,\"journal\":{\"name\":\"El-Cezeri Journal of Science and Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"El-Cezeri Journal of Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31202/ecjse.1247180\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"El-Cezeri Journal of Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31202/ecjse.1247180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Optimization of Monopole Consecutive Square-Shaped Patch Antenna with ANN for Wireless Communicaton Systems
In recent years, Artificial Neural Network (ANN) applications in antenna structures have gained significant traction due to their potential to reduce design and calculation times, offering optimization and prediction capabilities. This study introduces a novel monopole patch antenna design featuring a consecutive square-shaped broadband microstrip-line-fed antenna. The proposed antenna exhibits an impressive impedance bandwidth of 68% (1.55 - 2.82 GHz), a remarkable return loss of -47.25 dB, and a directivity gain of 2.77 dBi. Simulation studies were conducted using CST™ Studio Suite electromagnetic simulation software. The ANN model developed based on feed-forward backpropagation demonstrates exceptional agreement with the simulation results, showcasing an accuracy of 99.61805% and performing 2769.231 times faster. With advancing technology, ANNs present an effective solution for addressing complex antenna design challenges arising from escalating data rate requirements and uninterrupted data transmission. These results open promising avenues for further advancements in antenna design aided by ANN applications.