{"title":"Work-in-Progress: Virtual Reality Trainer for Vector Network Analyzer Calibration","authors":"I. Rumyancev, Margarita O. Aivazova, D. Akhmetov","doi":"10.1109/TALE54877.2022.00119","DOIUrl":null,"url":null,"abstract":"Virtual reality technology improves students’ experience with laboratory equipment in the case of blended and distance education. Vector networks analyzers are widely used to measure parameters of radio frequency integrated circuits and modules. Vector network analyzers must be calibrated before measurements to eliminate systematic errors. This work-in-progress paper presents a virtual reality trainer for one or two port measurement calibration of a vector network analyzer. The developed application was tested with Oculus Quest 2 headset.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TALE54877.2022.00119","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
Virtual reality technology improves students’ experience with laboratory equipment in the case of blended and distance education. Vector networks analyzers are widely used to measure parameters of radio frequency integrated circuits and modules. Vector network analyzers must be calibrated before measurements to eliminate systematic errors. This work-in-progress paper presents a virtual reality trainer for one or two port measurement calibration of a vector network analyzer. The developed application was tested with Oculus Quest 2 headset.