{"title":"Demonstration Abstract: Real-Time Indoor Localization with TDOA and Distributed Software Defined Radio","authors":"Johannes Schmitz, M.A.L. Hernandez, R. Mathar","doi":"10.1109/IPSN.2016.7460671","DOIUrl":null,"url":null,"abstract":"We present a system utilizing off-the-shelf hardware components and a software framework, which is able to perform radio frequency localization with high accuracy in the order of a few meters. The architecture consists of highly synchronized receivers that are utilized by a distributed software defined radio stack in order to obtain synchronized multi channel reception of the target signal. This includes transportation of the sampled baseband signals from the receivers over a backbone network and local signal processing at a fusion center. To overcome the large drifts in the synchronization signals provided by GPS, we permanently calibrate the system based on a stationary reference source. The implemented system framework enables us to perform research on localization algorithms and performance evaluation under the influence of various inherent noise and error sources.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPSN.2016.7460671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
We present a system utilizing off-the-shelf hardware components and a software framework, which is able to perform radio frequency localization with high accuracy in the order of a few meters. The architecture consists of highly synchronized receivers that are utilized by a distributed software defined radio stack in order to obtain synchronized multi channel reception of the target signal. This includes transportation of the sampled baseband signals from the receivers over a backbone network and local signal processing at a fusion center. To overcome the large drifts in the synchronization signals provided by GPS, we permanently calibrate the system based on a stationary reference source. The implemented system framework enables us to perform research on localization algorithms and performance evaluation under the influence of various inherent noise and error sources.