{"title":"Rx position effect on Device Free Indoor Localization in the 28 GHz band","authors":"Verónica Ojeda, Juan C. Aviles","doi":"10.1109/SAS54819.2022.9881244","DOIUrl":null,"url":null,"abstract":"By taking advantage of the received power variation in a communication link due to the presence of a person, this study explores the effect of different distributions of 8 receivers in an indoor free device localization method operating in the 28 GHz band. Uniform linear arrays with 9 antennas (ULA-9) are applied to the transmitting side whereas the receivers are equipped with omnidirectional antennas. Simulation results using data from a ray tracing tool and a machine learning method suggest that for the setup considered, classification accuracy depends more on the number of person’s locations that can be sensed between the transmitter and receiver whether this can occur through direct links or by reflections in nearby walls. Additionally, it is observed that an approximate uniform layout of receivers is not necessarily the optimum distribution and there are some distributions that do not reach better positioning performance than others in any case of the transmitter combinations considered.","PeriodicalId":129732,"journal":{"name":"2022 IEEE Sensors Applications Symposium (SAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS54819.2022.9881244","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
By taking advantage of the received power variation in a communication link due to the presence of a person, this study explores the effect of different distributions of 8 receivers in an indoor free device localization method operating in the 28 GHz band. Uniform linear arrays with 9 antennas (ULA-9) are applied to the transmitting side whereas the receivers are equipped with omnidirectional antennas. Simulation results using data from a ray tracing tool and a machine learning method suggest that for the setup considered, classification accuracy depends more on the number of person’s locations that can be sensed between the transmitter and receiver whether this can occur through direct links or by reflections in nearby walls. Additionally, it is observed that an approximate uniform layout of receivers is not necessarily the optimum distribution and there are some distributions that do not reach better positioning performance than others in any case of the transmitter combinations considered.