Naif Rabeah, Sundar Aditya, Faisal M. Alawwad, A. Molisch, H. Behairy
{"title":"A measurement-based blocking distribution for improving localization in warehouse environments","authors":"Naif Rabeah, Sundar Aditya, Faisal M. Alawwad, A. Molisch, H. Behairy","doi":"10.1109/ICEAA.2016.7731546","DOIUrl":null,"url":null,"abstract":"In a warehouse environment, blocked line-of-sight between targets and anchors, due to storage racks, is an impediment to localization. For ultrawideband signals, the stochastic nature of the blocking phenomenon - due to its material penetrating capabilities - can be characterized by a location-specific blocking distribution. Once such a distribution is available, the localization of a potentially unknown number of targets can be cast as a Bayesian estimation problem, where the blocking distribution plays the role of a prior. This paper presents the results of a ultrawideband measurement campaign conducted to obtain the blocking distribution in a warehouse environment.","PeriodicalId":434972,"journal":{"name":"2016 International Conference on Electromagnetics in Advanced Applications (ICEAA)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Electromagnetics in Advanced Applications (ICEAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEAA.2016.7731546","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
In a warehouse environment, blocked line-of-sight between targets and anchors, due to storage racks, is an impediment to localization. For ultrawideband signals, the stochastic nature of the blocking phenomenon - due to its material penetrating capabilities - can be characterized by a location-specific blocking distribution. Once such a distribution is available, the localization of a potentially unknown number of targets can be cast as a Bayesian estimation problem, where the blocking distribution plays the role of a prior. This paper presents the results of a ultrawideband measurement campaign conducted to obtain the blocking distribution in a warehouse environment.