UWB- perloc - mat:基于UWB传感器的人员定位MATLAB应用程序

2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA) Pub Date : 2018-11-01 DOI:10.1109/ICETA.2018.8572275

M. Švecová, D. Kocur, M. Švingál

{"title":"UWB- perloc - mat:基于UWB传感器的人员定位MATLAB应用程序","authors":"M. Švecová, D. Kocur, M. Švingál","doi":"10.1109/ICETA.2018.8572275","DOIUrl":null,"url":null,"abstract":"Monitoring of people by using ultra-wideband (UWB) radars is becoming more and more attractive for many practical applications. This trend follows from the ability of this technology to detect and localize living people even in the case of low or zero-optical visibility. Because of the attractiveness and perspective of this technology, education focused on UWB sensors and their applications has been included also to M.Sc. program in the branch of electronics provided at Technical University of Kosice (TUKE). In order to support this education process, a MATLAB application denoted as UWB-PerLoc-MAT has been designed. UWB-PerLoc-MAT allows UWB radar signal processing for person localization and tracking in 2D space and hence, it can be applied with the advantage during experimental exercises intent on person localization. UWB-PerLoc-MAT has many useful features and useful properties. We believe that it could be interesting for readers working in the field of UWB sensor technologies and related education. Therefore we have decided to bring readers interested in this issue, basic information about UWB-PerLoc-MAT through this paper.","PeriodicalId":304523,"journal":{"name":"2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"UWB-PerLoc-MAT: MATLAB App for Person Localization by UWB Sensor\",\"authors\":\"M. Švecová, D. Kocur, M. Švingál\",\"doi\":\"10.1109/ICETA.2018.8572275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Monitoring of people by using ultra-wideband (UWB) radars is becoming more and more attractive for many practical applications. This trend follows from the ability of this technology to detect and localize living people even in the case of low or zero-optical visibility. Because of the attractiveness and perspective of this technology, education focused on UWB sensors and their applications has been included also to M.Sc. program in the branch of electronics provided at Technical University of Kosice (TUKE). In order to support this education process, a MATLAB application denoted as UWB-PerLoc-MAT has been designed. UWB-PerLoc-MAT allows UWB radar signal processing for person localization and tracking in 2D space and hence, it can be applied with the advantage during experimental exercises intent on person localization. UWB-PerLoc-MAT has many useful features and useful properties. We believe that it could be interesting for readers working in the field of UWB sensor technologies and related education. Therefore we have decided to bring readers interested in this issue, basic information about UWB-PerLoc-MAT through this paper.\",\"PeriodicalId\":304523,\"journal\":{\"name\":\"2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETA.2018.8572275\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETA.2018.8572275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

利用超宽带(UWB)雷达对人员进行监控在许多实际应用中变得越来越有吸引力。这种趋势源于这项技术即使在低或零光学能见度的情况下也能检测和定位活人。由于这项技术的吸引力和前景，专注于UWB传感器及其应用的教育也被纳入科希策工业大学(TUKE)电子分院的硕士课程。为了支持这一教育过程，设计了一个MATLAB应用程序，表示为UWB-PerLoc-MAT。UWB- perloc - mat允许UWB雷达信号处理在二维空间中进行人员定位和跟踪，因此，它可以在以人员定位为目的的实验练习中应用。UWB-PerLoc-MAT具有许多有用的特性和性能。我们相信，对于在超宽带传感器技术和相关教育领域工作的读者来说，这可能会很有趣。因此，我们决定通过本文向读者介绍对UWB-PerLoc-MAT感兴趣的基本信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

UWB-PerLoc-MAT: MATLAB App for Person Localization by UWB Sensor

Monitoring of people by using ultra-wideband (UWB) radars is becoming more and more attractive for many practical applications. This trend follows from the ability of this technology to detect and localize living people even in the case of low or zero-optical visibility. Because of the attractiveness and perspective of this technology, education focused on UWB sensors and their applications has been included also to M.Sc. program in the branch of electronics provided at Technical University of Kosice (TUKE). In order to support this education process, a MATLAB application denoted as UWB-PerLoc-MAT has been designed. UWB-PerLoc-MAT allows UWB radar signal processing for person localization and tracking in 2D space and hence, it can be applied with the advantage during experimental exercises intent on person localization. UWB-PerLoc-MAT has many useful features and useful properties. We believe that it could be interesting for readers working in the field of UWB sensor technologies and related education. Therefore we have decided to bring readers interested in this issue, basic information about UWB-PerLoc-MAT through this paper.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA)

自引率

0.00%

发文量