{"title":"最小旁瓣电平和零控制的线性阵列综合","authors":"S. K. Mahto, A. Choubey, S. Suman","doi":"10.1109/SPACES.2015.7058246","DOIUrl":null,"url":null,"abstract":"This paper presents synthesis of unequally spaced linear array antenna with minimum sidelobe suppression, desired beamwidth and null control using wind driven optimization (WDO) algorithm. The WDO technique is nature-inspired, population based iterative heuristic global optimization algorithm for multidimensional and multimodal problems. The array synthesis objective function is formulated and then optimizes elements location using WDO algorithm to achieve the goal of minimum sidelobe level (SLL) suppression, desired beamwidth and null placement in certain direction. The results of the WDO algorithm are validated by comparing with results obtained using PSO and other evolutionary algorithm as reported in literature for linear array (N=10). The synthesis results such as radiation pattern and convergence graph show that WDO algorithm performs far better than the common PSO, CLPSO and other evolutionary algorithms.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Linear array synthesis with minimum side lobe level and null control using wind driven optimization\",\"authors\":\"S. K. Mahto, A. Choubey, S. Suman\",\"doi\":\"10.1109/SPACES.2015.7058246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents synthesis of unequally spaced linear array antenna with minimum sidelobe suppression, desired beamwidth and null control using wind driven optimization (WDO) algorithm. The WDO technique is nature-inspired, population based iterative heuristic global optimization algorithm for multidimensional and multimodal problems. The array synthesis objective function is formulated and then optimizes elements location using WDO algorithm to achieve the goal of minimum sidelobe level (SLL) suppression, desired beamwidth and null placement in certain direction. The results of the WDO algorithm are validated by comparing with results obtained using PSO and other evolutionary algorithm as reported in literature for linear array (N=10). The synthesis results such as radiation pattern and convergence graph show that WDO algorithm performs far better than the common PSO, CLPSO and other evolutionary algorithms.\",\"PeriodicalId\":432479,\"journal\":{\"name\":\"2015 International Conference on Signal Processing and Communication Engineering Systems\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Signal Processing and Communication Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPACES.2015.7058246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Signal Processing and Communication Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPACES.2015.7058246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linear array synthesis with minimum side lobe level and null control using wind driven optimization
This paper presents synthesis of unequally spaced linear array antenna with minimum sidelobe suppression, desired beamwidth and null control using wind driven optimization (WDO) algorithm. The WDO technique is nature-inspired, population based iterative heuristic global optimization algorithm for multidimensional and multimodal problems. The array synthesis objective function is formulated and then optimizes elements location using WDO algorithm to achieve the goal of minimum sidelobe level (SLL) suppression, desired beamwidth and null placement in certain direction. The results of the WDO algorithm are validated by comparing with results obtained using PSO and other evolutionary algorithm as reported in literature for linear array (N=10). The synthesis results such as radiation pattern and convergence graph show that WDO algorithm performs far better than the common PSO, CLPSO and other evolutionary algorithms.