G. Corsini, E. Dalle Mese, G. Manara, F. Bessi, G. Bettini, F. Zacca
{"title":"Radar imaging of noncooperating maneuvering aircraft","authors":"G. Corsini, E. Dalle Mese, G. Manara, F. Bessi, G. Bettini, F. Zacca","doi":"10.1109/RADAR.1990.201090","DOIUrl":null,"url":null,"abstract":"The problem of performing automatic high resolution radar imaging of noncooperating maneuvering aircraft is investigated. In order to define the main features of the radar processor, a numerical model of the system which makes use of an electromagnetic model of the moving aircraft so that the actual, complete operating conditions can be simulated has been developed. The availability of such a numerical tool avoids the need to carry out long and onerous experimental tests. In this framework an automatic high-resolution radar imaging technique has been developed. The imaging algorithm provides parameters useful for target classification.<<ETX>>","PeriodicalId":441674,"journal":{"name":"IEEE International Conference on Radar","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Radar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.1990.201090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The problem of performing automatic high resolution radar imaging of noncooperating maneuvering aircraft is investigated. In order to define the main features of the radar processor, a numerical model of the system which makes use of an electromagnetic model of the moving aircraft so that the actual, complete operating conditions can be simulated has been developed. The availability of such a numerical tool avoids the need to carry out long and onerous experimental tests. In this framework an automatic high-resolution radar imaging technique has been developed. The imaging algorithm provides parameters useful for target classification.<>