Ambient Backscatter Communication Enabled Narrow Band Radio Frequency Inference
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Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu |
Master's thesis
Authors
Date
2022-08-22
Department
Major/Subject
Communications Engineering
Mcode
ELEC3029
Degree programme
CCIS - Master’s Programme in Computer, Communication and Information Sciences (TS2013)
Language
en
Pages
73+2
Series
Abstract
Backscatter communication (BSC) can enable the narrowband radio frequency inference (RFI) operated in the industrial, scientific and medical (ISM) band that coexists with other radio transmission schemes, superior to conventional RFI systems because of its low-power consumption and low system complexity. The research of this thesis aims to design a backscatter communication based sensing system for RFI, to derive and update the three-state received signal strength (RSS) model under the ambient BSC scenario, as well as to develop a device-free localisation and tracking (DFLT) system based on the derived models. The performance of designed backscatter device is validated by simulation and measurement equipment, and the derived RSS models are validated by measurement collection in a real indoor corridor scenario. The results indicate the models, software, and hardware of the designed system allow one to monitor the state of radio links, and to localise as well as track the human in an indoor corridor scenario.Description
Supervisor
Jäntti, RikuThesis advisor
Ali, YuseinKeywords
backscatter communication, RF inference, device-free localisation, received signal strength