Frédéric Munoz, Gloria Makhoul, D. Gaillot, Claude Oestges, R. D’Errico
{"title":"Space-Time Dense Multipath Components Modeling at mmWaves in Indoor Industrial Environments","authors":"Frédéric Munoz, Gloria Makhoul, D. Gaillot, Claude Oestges, R. D’Errico","doi":"10.23919/EuCAP57121.2023.10133474","DOIUrl":null,"url":null,"abstract":"This paper presents the characterization and models of specular and dense multipath components in the millimeter wave channels for industrial scenarios. The results are obtained from measurements covering the 26 - 30 GHz bands and employing a massive virtual array. Two different high-resolution algorithms, SAGE and RiMAX, have been employed. Then, a beamforming on the dense component is performed to obtain their angular distribution. The results are compared in terms of large-scale parameter fitting.","PeriodicalId":103360,"journal":{"name":"2023 17th European Conference on Antennas and Propagation (EuCAP)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 17th European Conference on Antennas and Propagation (EuCAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EuCAP57121.2023.10133474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the characterization and models of specular and dense multipath components in the millimeter wave channels for industrial scenarios. The results are obtained from measurements covering the 26 - 30 GHz bands and employing a massive virtual array. Two different high-resolution algorithms, SAGE and RiMAX, have been employed. Then, a beamforming on the dense component is performed to obtain their angular distribution. The results are compared in terms of large-scale parameter fitting.