Anjie Zhu, Tenglong Fan, Zhitao Gu, Qinyi Lv, Changzhi Li, L. Ran
{"title":"Indoor localization based on a single-tone SIMO-structured Doppler radar system","authors":"Anjie Zhu, Tenglong Fan, Zhitao Gu, Qinyi Lv, Changzhi Li, L. Ran","doi":"10.1109/RWS.2018.8304931","DOIUrl":null,"url":null,"abstract":"Indoor localization is a hot topic in microwave engineering. However, short-range localization of passive moving objects in indoor environments remains a technical challenge. In this paper, we propose a single-frequency continuous-wave Doppler radar sensor implemented in a form of a single-input multiple-output (SIMO) architecture with a redundant receiving channel. It only uses the Doppler information in the localization. In this case, this localization is naturally immune to stationary clutters such as walls and furniture, making it only responsive to moving objects. The obtained results imply the potential for the localization and tracking of moving objects in indoor environments with strong stationary scatters.","PeriodicalId":170594,"journal":{"name":"2018 IEEE Radio and Wireless Symposium (RWS)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Radio and Wireless Symposium (RWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS.2018.8304931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Indoor localization is a hot topic in microwave engineering. However, short-range localization of passive moving objects in indoor environments remains a technical challenge. In this paper, we propose a single-frequency continuous-wave Doppler radar sensor implemented in a form of a single-input multiple-output (SIMO) architecture with a redundant receiving channel. It only uses the Doppler information in the localization. In this case, this localization is naturally immune to stationary clutters such as walls and furniture, making it only responsive to moving objects. The obtained results imply the potential for the localization and tracking of moving objects in indoor environments with strong stationary scatters.