{"title":"Near-field plane wave generation using a minimum mean square error approach","authors":"D.F. Groutage, J.D. Gary, D.K. Owen","doi":"10.1109/SSAP.1992.246896","DOIUrl":null,"url":null,"abstract":"Holographic techniques are being developed to obtain near-field target strength measurements. This concept requires a projector array in the near-field to produce approximate plane waves in the volume occupied by the target. A method has been developed to generate complex weights that are applied to the elements in the projector array as amplitude shadings and time delays. This paper shows how a rectangular volume surrounding the target is a Hilbert space, and uses the classical projection theorem to obtain the optimum weights in the mean square error sense. Performance curves indicate the usefulness of this method.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1992.246896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Holographic techniques are being developed to obtain near-field target strength measurements. This concept requires a projector array in the near-field to produce approximate plane waves in the volume occupied by the target. A method has been developed to generate complex weights that are applied to the elements in the projector array as amplitude shadings and time delays. This paper shows how a rectangular volume surrounding the target is a Hilbert space, and uses the classical projection theorem to obtain the optimum weights in the mean square error sense. Performance curves indicate the usefulness of this method.<>