{"title":"A Novel Adaptive Ground Clutter Removal Algorithm for High Range Resolution MMW Radar","authors":"Fan Wei, Cao Yunxia, Bi Xin, Ma Yue, Chen Shuai","doi":"10.1109/KAMW.2008.4810498","DOIUrl":null,"url":null,"abstract":"In this paper we present a novel adaptive ground clutter removal algorithm for high range resolution MMW-radar application where the dielectric contrast between the air and the ground material is close to or even higher than that between the target and the surrounding medium. Most of the ground clutter removal algorithms used nowadays, show weak performances in the case of a rough ground surface or suffer from high computation complexity. The algorithm presented in this contribution is capable to remove the ground clutter resulting from undulated surfaces by estimating not only the position but also the varying signal shape and enables a near optimal ground clutter reduction with a moderate computation complexity.","PeriodicalId":375613,"journal":{"name":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KAMW.2008.4810498","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
In this paper we present a novel adaptive ground clutter removal algorithm for high range resolution MMW-radar application where the dielectric contrast between the air and the ground material is close to or even higher than that between the target and the surrounding medium. Most of the ground clutter removal algorithms used nowadays, show weak performances in the case of a rough ground surface or suffer from high computation complexity. The algorithm presented in this contribution is capable to remove the ground clutter resulting from undulated surfaces by estimating not only the position but also the varying signal shape and enables a near optimal ground clutter reduction with a moderate computation complexity.
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