{"title":"Experimental Study of Moving Man Detection by Acoustic Forward Scattering Radar System","authors":"I. Garvanov, C. Kabakchiev, V. Behar, H. Rohling","doi":"10.1145/3152808.3152818","DOIUrl":null,"url":null,"abstract":"The article explores the possibility of detection of people on the base of their sound shadow (sound blocking) when people cross the baseline in the Acoustic Forward Scatter Radar System (AFSRS). Experimental sound shadows have been obtained from moving people crossing AFSRS at different sound frequencies and different distances of people to the receiver. The sound shadow parameters of moving people, i.e. length of target shadow and peak Signal-to-Noise Ratio have been evaluated. The algorithm under investigation can be applied to create a network of sound barriers.","PeriodicalId":325654,"journal":{"name":"Proceedings of the 6th International Conference on Telecommunications and Remote Sensing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Telecommunications and Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3152808.3152818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The article explores the possibility of detection of people on the base of their sound shadow (sound blocking) when people cross the baseline in the Acoustic Forward Scatter Radar System (AFSRS). Experimental sound shadows have been obtained from moving people crossing AFSRS at different sound frequencies and different distances of people to the receiver. The sound shadow parameters of moving people, i.e. length of target shadow and peak Signal-to-Noise Ratio have been evaluated. The algorithm under investigation can be applied to create a network of sound barriers.