Canberk Tatli, Egemen Denizeri, D. Kumlu, I. Erer, B. Yalçin, F. Işık
{"title":"Clutter Removal for Ground Penetrating Radars on FPGA: Design and Implementation","authors":"Canberk Tatli, Egemen Denizeri, D. Kumlu, I. Erer, B. Yalçin, F. Işık","doi":"10.1109/SIU55565.2022.9864706","DOIUrl":null,"url":null,"abstract":"The clutter encountered in Ground Penetrating Radar(GPR) systems is an important area of research since it decreases target detection rates. Real-time radar applications and hardware implementation of clutter removal methods in autonomous systems are crucial. In this study, robust non-negative matrix factorization (RNMF) is used, which requires simple mathematical operations and suitable for hardware implementations. FPGA was chosen as the hardware implementation environment due to its re-programmable feature. It has been shown that the hardware implementation results have the same performance as the clutter removal results obtained in the MATLAB environment.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU55565.2022.9864706","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
The clutter encountered in Ground Penetrating Radar(GPR) systems is an important area of research since it decreases target detection rates. Real-time radar applications and hardware implementation of clutter removal methods in autonomous systems are crucial. In this study, robust non-negative matrix factorization (RNMF) is used, which requires simple mathematical operations and suitable for hardware implementations. FPGA was chosen as the hardware implementation environment due to its re-programmable feature. It has been shown that the hardware implementation results have the same performance as the clutter removal results obtained in the MATLAB environment.