{"title":"Wavelet analysis of impulse ultra-wideband radar","authors":"R. L. Jenkins, B. Dewberry, L. Joiner","doi":"10.1109/SECON.2010.5453898","DOIUrl":null,"url":null,"abstract":"In this paper, we have enhanced ultra-wideband (UWB) radar signal-to-noise ratio (SNR) by applying a wavelet transform (WT) based matched filter. The wavelet transform algorithm (WTA) provided enhanced reliability relative to conventional background template subtraction (BTS) approach, increasing reliability detecting targets in the nonlinear close in (<50cm) and at the maximum distance tested (29m.) We extrapolated the WTA can support a maximum radar range of 60m, about twice that available with the conventional constant false alarm rate (CFAR) methods.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2010.5453898","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
In this paper, we have enhanced ultra-wideband (UWB) radar signal-to-noise ratio (SNR) by applying a wavelet transform (WT) based matched filter. The wavelet transform algorithm (WTA) provided enhanced reliability relative to conventional background template subtraction (BTS) approach, increasing reliability detecting targets in the nonlinear close in (<50cm) and at the maximum distance tested (29m.) We extrapolated the WTA can support a maximum radar range of 60m, about twice that available with the conventional constant false alarm rate (CFAR) methods.
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