{"title":"使用调谐随机漂移粒子群优化算法优化天线阵列设计","authors":"Debolina Brahma, Arindam Deb","doi":"10.1109/IEMTRONICS51293.2020.9216378","DOIUrl":null,"url":null,"abstract":"Conventional particle swarm optimization and random drift particle swarm optimization algorithms are applied to the optimal design of a collinear dipole antenna array. The random drift particle swam optimization algorithm is tuned for its best performance by properly choosing the control parameter and it showed a faster convergence rate compared to the conventional particle swarm optimization algorithm. The optimal array designed using the conventional particle swarm optimization algorithm has a beam width of 9 degrees between 1st nulls and maximum side lobe level of -24.17 dB whereas the array designed using the random drift particle swarm optimization algorithm has a beam width of 10 degrees between 1st nulls and maximum side lobe level of -27.46 dB.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Design of Antenna Array using Tuned Random Drift Particle Swarm Optimization Algorithm\",\"authors\":\"Debolina Brahma, Arindam Deb\",\"doi\":\"10.1109/IEMTRONICS51293.2020.9216378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conventional particle swarm optimization and random drift particle swarm optimization algorithms are applied to the optimal design of a collinear dipole antenna array. The random drift particle swam optimization algorithm is tuned for its best performance by properly choosing the control parameter and it showed a faster convergence rate compared to the conventional particle swarm optimization algorithm. The optimal array designed using the conventional particle swarm optimization algorithm has a beam width of 9 degrees between 1st nulls and maximum side lobe level of -24.17 dB whereas the array designed using the random drift particle swarm optimization algorithm has a beam width of 10 degrees between 1st nulls and maximum side lobe level of -27.46 dB.\",\"PeriodicalId\":269697,\"journal\":{\"name\":\"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMTRONICS51293.2020.9216378\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Design of Antenna Array using Tuned Random Drift Particle Swarm Optimization Algorithm
Conventional particle swarm optimization and random drift particle swarm optimization algorithms are applied to the optimal design of a collinear dipole antenna array. The random drift particle swam optimization algorithm is tuned for its best performance by properly choosing the control parameter and it showed a faster convergence rate compared to the conventional particle swarm optimization algorithm. The optimal array designed using the conventional particle swarm optimization algorithm has a beam width of 9 degrees between 1st nulls and maximum side lobe level of -24.17 dB whereas the array designed using the random drift particle swarm optimization algorithm has a beam width of 10 degrees between 1st nulls and maximum side lobe level of -27.46 dB.