{"title":"Localizing and Imaging of Breast Cancer Based on UWB Antenna Sensor Network","authors":"Sameer Alani, Z. Zakaria, Asmala Ahmad","doi":"10.1109/HORA52670.2021.9461310","DOIUrl":null,"url":null,"abstract":"Owing to its specific characteristics such as short-range, non-ionizing, and wide bandwidth, UWB technology is now widely recommended for use in such an application. This paper examines the process of imaging and localizing breast cancer using a UWB antenna sensor network. We concentrate on a two-dimensional network of UWB antenna sensors that are used to activate the object as well as capture delayed and phase-shifted data. The data must be analyzed using an algorithm that eliminates noise and clutter while displaying the image in high resolution. The sensitivity and efficiency of the machine are improved by using more UWB sensors. Preliminary findings are displayed in the simulation setting to assess the viability of the suggested solution.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HORA52670.2021.9461310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Owing to its specific characteristics such as short-range, non-ionizing, and wide bandwidth, UWB technology is now widely recommended for use in such an application. This paper examines the process of imaging and localizing breast cancer using a UWB antenna sensor network. We concentrate on a two-dimensional network of UWB antenna sensors that are used to activate the object as well as capture delayed and phase-shifted data. The data must be analyzed using an algorithm that eliminates noise and clutter while displaying the image in high resolution. The sensitivity and efficiency of the machine are improved by using more UWB sensors. Preliminary findings are displayed in the simulation setting to assess the viability of the suggested solution.
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