Harsh Dungrani, Yagnesh Gotad, U. S. Giridhar, Pallavi Malame
{"title":"Application of Genetic Algorithm for Designing of Microstrip Patch Antenna with a U-Slot","authors":"Harsh Dungrani, Yagnesh Gotad, U. S. Giridhar, Pallavi Malame","doi":"10.1109/SPICSCON54707.2021.9885658","DOIUrl":null,"url":null,"abstract":"The purpose of the work is to merge two booming fields of science and technology which are machine learning and antenna designing. Genetic algorithm, which belongs to the class of evolutionary algorithms, is inspired by the process of natural selection, where the fittest individuals are selected for reproduction to find the optimal solution for getting the desired output. The proposed U-Slot antennas have their designing parameters determined with the help of genetic algorithms. The proposed dual band antenna has two bands at 0.87–0.92 GHz and 1.14–1.22 GHz. The wideband antenna proposed has the return loss S11 below −10 dB from 0.82 GHz to 1.02 GHz providing a bandwidth of 200 MHz and is suitable for Ultra High Frequency (UHF) Radio Frequency Identification (RFID) applications worldwide. The simulations are performed using the ANSYS Electronics Desktop R19.2 HFSS Software.","PeriodicalId":159505,"journal":{"name":"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPICSCON54707.2021.9885658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The purpose of the work is to merge two booming fields of science and technology which are machine learning and antenna designing. Genetic algorithm, which belongs to the class of evolutionary algorithms, is inspired by the process of natural selection, where the fittest individuals are selected for reproduction to find the optimal solution for getting the desired output. The proposed U-Slot antennas have their designing parameters determined with the help of genetic algorithms. The proposed dual band antenna has two bands at 0.87–0.92 GHz and 1.14–1.22 GHz. The wideband antenna proposed has the return loss S11 below −10 dB from 0.82 GHz to 1.02 GHz providing a bandwidth of 200 MHz and is suitable for Ultra High Frequency (UHF) Radio Frequency Identification (RFID) applications worldwide. The simulations are performed using the ANSYS Electronics Desktop R19.2 HFSS Software.
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