{"title":"Ubiquitous Imaging Radar: System Concept and Resolution Performance","authors":"Qilei Zhang, Manqing Wu, Wenxian Yu","doi":"10.23919/IRS.2018.8448103","DOIUrl":null,"url":null,"abstract":"This paper proposes a notional radar system: Ubiquitous Imaging Radar (UIR). The system configuration of UIR is motivated by the concept of ‘ubiquitous radar’ and, the imaging principle is motivated by the concept of ‘generalized aperture’. Therefore, the proposed UIR can be able to realize persistent observation of wide areas and high-resolution three-dimensional imaging. As a beginning, the system concept of UIR is briefly outlined and the signal model is presented. To evaluate the imaging resolution performance, generalized ambiguity function (GAF) is introduced and modified for UIR. At last, a typical parameterized example is used to provide a quantitative analysis of the resolution performance.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 19th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/IRS.2018.8448103","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 proposes a notional radar system: Ubiquitous Imaging Radar (UIR). The system configuration of UIR is motivated by the concept of ‘ubiquitous radar’ and, the imaging principle is motivated by the concept of ‘generalized aperture’. Therefore, the proposed UIR can be able to realize persistent observation of wide areas and high-resolution three-dimensional imaging. As a beginning, the system concept of UIR is briefly outlined and the signal model is presented. To evaluate the imaging resolution performance, generalized ambiguity function (GAF) is introduced and modified for UIR. At last, a typical parameterized example is used to provide a quantitative analysis of the resolution performance.