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, Riku

Thesis advisor

Ali, Yusein

Keywords

backscatter communication, RF inference, device-free localisation, received signal strength

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Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202208285173

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[dipl] Sähkötekniikan korkeakoulu / ELEC