Low Bitrate Ambient FM Backscattering for Low Cost and Low Power Sensing

Spyridon Nektarios Daskalakis; George Goussetis; Apostolos Georgiadis

doi:10.23919/URSI-AT-RASC.2018.8471572

Low Bitrate Ambient FM Backscattering for Low Cost and Low Power Sensing

Spyridon Nektarios Daskalakis, George Goussetis, Apostolos Georgiadis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

BPID5174999. Ambient backscatter is the new next novel approach for extremely low power communication. Using existing ambient signals for communication, the communication scheme is simplified only to a sensor-node and a receiver circuit. In this work is presented a wireless tag using FM signals for backscatter communication. The receiver consists of a commercial low-cost RTL SDR connected to a computer and a algorithm from signal processing. The tag has been demonstrated in an indoor laboratory setup using the most powerfull FM station.

Original language	English
Title of host publication	2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC)
Publisher	IEEE
ISBN (Electronic)	9789082598735
DOIs	https://doi.org/10.23919/URSI-AT-RASC.2018.8471572
Publication status	Published - 27 Sept 2018
Event	2nd URSI Atlantic Radio Science Meeting 2018 - Gran Canaria, Spain Duration: 28 May 2018 → 1 Jun 2018

Conference

Conference	2nd URSI Atlantic Radio Science Meeting 2018
Abbreviated title	AT-RASC 2018
Country/Territory	Spain
City	Gran Canaria
Period	28/05/18 → 1/06/18

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Electrical and Electronic Engineering
Instrumentation

Access to Document

10.23919/URSI-AT-RASC.2018.8471572

Cite this

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title = "Low Bitrate Ambient FM Backscattering for Low Cost and Low Power Sensing",

abstract = "BPID5174999. Ambient backscatter is the new next novel approach for extremely low power communication. Using existing ambient signals for communication, the communication scheme is simplified only to a sensor-node and a receiver circuit. In this work is presented a wireless tag using FM signals for backscatter communication. The receiver consists of a commercial low-cost RTL SDR connected to a computer and a algorithm from signal processing. The tag has been demonstrated in an indoor laboratory setup using the most powerfull FM station.",

author = "Daskalakis, {Spyridon Nektarios} and George Goussetis and Apostolos Georgiadis",

year = "2018",

month = sep,

day = "27",

doi = "10.23919/URSI-AT-RASC.2018.8471572",

language = "English",

booktitle = "2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC)",

publisher = "IEEE",

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note = "2nd URSI Atlantic Radio Science Meeting 2018, AT-RASC 2018 ; Conference date: 28-05-2018 Through 01-06-2018",

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T1 - Low Bitrate Ambient FM Backscattering for Low Cost and Low Power Sensing

AU - Daskalakis, Spyridon Nektarios

AU - Goussetis, George

AU - Georgiadis, Apostolos

PY - 2018/9/27

Y1 - 2018/9/27

N2 - BPID5174999. Ambient backscatter is the new next novel approach for extremely low power communication. Using existing ambient signals for communication, the communication scheme is simplified only to a sensor-node and a receiver circuit. In this work is presented a wireless tag using FM signals for backscatter communication. The receiver consists of a commercial low-cost RTL SDR connected to a computer and a algorithm from signal processing. The tag has been demonstrated in an indoor laboratory setup using the most powerfull FM station.

AB - BPID5174999. Ambient backscatter is the new next novel approach for extremely low power communication. Using existing ambient signals for communication, the communication scheme is simplified only to a sensor-node and a receiver circuit. In this work is presented a wireless tag using FM signals for backscatter communication. The receiver consists of a commercial low-cost RTL SDR connected to a computer and a algorithm from signal processing. The tag has been demonstrated in an indoor laboratory setup using the most powerfull FM station.

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U2 - 10.23919/URSI-AT-RASC.2018.8471572

DO - 10.23919/URSI-AT-RASC.2018.8471572

M3 - Conference contribution

AN - SCOPUS:85055854647

BT - 2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC)

PB - IEEE

T2 - 2nd URSI Atlantic Radio Science Meeting 2018

Y2 - 28 May 2018 through 1 June 2018

ER -

Low Bitrate Ambient FM Backscattering for Low Cost and Low Power Sensing

Abstract

Conference

ASJC Scopus subject areas

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