Xianxiang Yu, G. Cui, Shangwei Gao, L. Kong, Tianxian Zhang, Jianyu Yang
{"title":"Sparse array design for distributed aperture coherence-synthetic radar","authors":"Xianxiang Yu, G. Cui, Shangwei Gao, L. Kong, Tianxian Zhang, Jianyu Yang","doi":"10.1109/RADAR.2016.8059240","DOIUrl":null,"url":null,"abstract":"This paper considers the sparse linear array (SLA) design problem of coherent unambiguous transmit for the distributed aperture coherence-synthetic radar (DACR), accounting for the antenna size constraint and geography constraint in which elements can not be placed in a given aperture. We develop the peak sidelobe level (PSL) based cost function, which considers the sum of the PSL when the mainlobe located at all scanning angles. Then, we derive the antenna element locations by minimizing the cost function through PSO algorithm. Finally, several numerical simulations verify the effectiveness of the proposed SLA design method.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 CIE International Conference on Radar (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.8059240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper considers the sparse linear array (SLA) design problem of coherent unambiguous transmit for the distributed aperture coherence-synthetic radar (DACR), accounting for the antenna size constraint and geography constraint in which elements can not be placed in a given aperture. We develop the peak sidelobe level (PSL) based cost function, which considers the sum of the PSL when the mainlobe located at all scanning angles. Then, we derive the antenna element locations by minimizing the cost function through PSO algorithm. Finally, several numerical simulations verify the effectiveness of the proposed SLA design method.