{"title":"A Cooperative Device Free Wireless Sensing Design and Analysis for Target Position Estimation","authors":"Yucheng Dai, Wooseok Nam, Tao Luo, A. Kannan","doi":"10.1109/iccworkshops53468.2022.9814522","DOIUrl":null,"url":null,"abstract":"Owing to the development in both hardware man-ufacturing and signal processing techniques, a User Equipment (UE) has evolved into not just a communication tool but also an advanced device which can perceive the environment. Although current sensing designs at UE side mainly focus on the electro-magnetic environment or the existence of the device which can transmit signal, the 5G/6G standards plan to extend the sensing function to perceive the physical environment and the ‘device-free’ object in the near future. This paper proposes a cooperative device-free wireless sensing method for estimating the position of a target, aiming to exploit the existing Transmit/Receive Points (TRPs) and UEs in the cellular system. A 3D ray-tracing channel model of Qualcomm Morehouse campus has been constructed for sensing performance evaluation. The results show that, for a cuboidal target with dimensions $1\\times 1\\times 0.2$ meters, a projected distance error less than 0.34 meter and 0.26 meter in 90 percent cases can be achieved with a single TRP and 3 TRPs, respectively.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccworkshops53468.2022.9814522","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 the development in both hardware man-ufacturing and signal processing techniques, a User Equipment (UE) has evolved into not just a communication tool but also an advanced device which can perceive the environment. Although current sensing designs at UE side mainly focus on the electro-magnetic environment or the existence of the device which can transmit signal, the 5G/6G standards plan to extend the sensing function to perceive the physical environment and the ‘device-free’ object in the near future. This paper proposes a cooperative device-free wireless sensing method for estimating the position of a target, aiming to exploit the existing Transmit/Receive Points (TRPs) and UEs in the cellular system. A 3D ray-tracing channel model of Qualcomm Morehouse campus has been constructed for sensing performance evaluation. The results show that, for a cuboidal target with dimensions $1\times 1\times 0.2$ meters, a projected distance error less than 0.34 meter and 0.26 meter in 90 percent cases can be achieved with a single TRP and 3 TRPs, respectively.