{"title":"A novel technique for multiple targets detection in through-the-wall radar imaging","authors":"N. S. N. Anwar, M. Abdullah","doi":"10.1109/TICST.2015.7369343","DOIUrl":null,"url":null,"abstract":"Application of through-the-wall radar imaging (TWRI) in many critical scenarios requires accurate and fast target identification. The spatial distribution of a target in TWRI is a function of many variables thus making it a very complex and dynamic problem. Especially for multiple targets and in clutter rich environments, the operator faces a challenging task separating the target from noise and background clutter. In this work, a combination of a sensitive constant false alarm rate (CFAR) thresholding technique and a binary masking operation is proposed. The experimental results show that the technique provides a good trade-off between high sensitivity and low false detection rate.","PeriodicalId":251893,"journal":{"name":"2015 International Conference on Science and Technology (TICST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Science and Technology (TICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TICST.2015.7369343","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
Application of through-the-wall radar imaging (TWRI) in many critical scenarios requires accurate and fast target identification. The spatial distribution of a target in TWRI is a function of many variables thus making it a very complex and dynamic problem. Especially for multiple targets and in clutter rich environments, the operator faces a challenging task separating the target from noise and background clutter. In this work, a combination of a sensitive constant false alarm rate (CFAR) thresholding technique and a binary masking operation is proposed. The experimental results show that the technique provides a good trade-off between high sensitivity and low false detection rate.