{"title":"CS based specular multipath exploitation in TWRI under wall position uncertainties","authors":"M. Leigsnering, F. Ahmad, M. Amin, A. Zoubir","doi":"10.1109/SAM.2014.6882447","DOIUrl":null,"url":null,"abstract":"Through-the-wall radar imaging utilizes electromagnetic wave propagation to reveal the locations of obscured targets. Indirect signal propagation paths, usually considered a nuisance, may be used to improve the quality of through-the-wall radar images. However, imperfect knowledge of the surrounding scatterers, i.e. the interior walls of a building, has adverse effects on such multipath exploitation schemes. We propose a joint scene reconstruction and wall position estimation approach based on compressive sensing. This enables effective and reliable utilization of indirect propagation paths resulting in clutter-free images of stationary indoor scenes. Simulation results demonstrate the effectiveness of the proposed method.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAM.2014.6882447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
Through-the-wall radar imaging utilizes electromagnetic wave propagation to reveal the locations of obscured targets. Indirect signal propagation paths, usually considered a nuisance, may be used to improve the quality of through-the-wall radar images. However, imperfect knowledge of the surrounding scatterers, i.e. the interior walls of a building, has adverse effects on such multipath exploitation schemes. We propose a joint scene reconstruction and wall position estimation approach based on compressive sensing. This enables effective and reliable utilization of indirect propagation paths resulting in clutter-free images of stationary indoor scenes. Simulation results demonstrate the effectiveness of the proposed method.