{"title":"Noise Removal in Near Range Active Millimeter Wave Three-dimensional Imaging System","authors":"Xin Wen, P. Fei, W. Guo, Lu Zhang","doi":"10.23919/EURAD.2018.8546572","DOIUrl":null,"url":null,"abstract":"Aimed at the noise removal in near range active millimetre wave pulse linear frequency modulation (LFM) based three-dimensional imaging system, this paper proposes a novel noise removal algorithm, which combines the independent component analysis (ICA) and Wigner-Hough transform. The algorithm is effective in noise suppression and easy to implementation. In a semi-physical simulation system, the algorithm improves the signal-to-noise ratio (SNR) of the echo signal by 10dB in standard target imaging experiment which verifies the effectiveness and feasibility of the noise removal algorithm.","PeriodicalId":171460,"journal":{"name":"2018 15th European Radar Conference (EuRAD)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 15th European Radar Conference (EuRAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EURAD.2018.8546572","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
Aimed at the noise removal in near range active millimetre wave pulse linear frequency modulation (LFM) based three-dimensional imaging system, this paper proposes a novel noise removal algorithm, which combines the independent component analysis (ICA) and Wigner-Hough transform. The algorithm is effective in noise suppression and easy to implementation. In a semi-physical simulation system, the algorithm improves the signal-to-noise ratio (SNR) of the echo signal by 10dB in standard target imaging experiment which verifies the effectiveness and feasibility of the noise removal algorithm.