Detection error rate analysis using coloured noise for the movement of chipless RFID tag

Meriam A. Bibile; Nemai A. Karmakar

doi:10.1109/AUSMS.2018.8346952

Detection error rate analysis using coloured noise for the movement of chipless RFID tag

Meriam A. Bibile, Nemai A. Karmakar

Electrical and Computer Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

6 Citations (Scopus)

Abstract

In this paper the detected signal of a chipless RFID tag in motion is analysed. The decoding of the tag frequency ID is performed by applying the adaptive wavelet based detection algorithm. The detection error rate is analysed in simulation in Matlab by applying coloured noise. These results are compared with the experimental results observed at different distances from the receiver antenna while moving the tag in vertical stepped movement. This helps to improve the sensitivity of the reader in development for the detection of chipless RFID tags in motion.

Original language	English
Title of host publication	2018 Australian Microwave Symposium (AMS) - Conference Proceedings
Editors	Christophe Fumeaux, Konstanty Bialkowski, Withawat Withayachumnankul
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781538625682, 9781538625675
ISBN (Print)	9781538625699
DOIs	https://doi.org/10.1109/AUSMS.2018.8346952
Publication status	Published - 2018
Event	Australian Microwave Symposium 2018 - Brisbane, Australia Duration: 6 Feb 2018 → 7 Feb 2018 Conference number: 3RD https://ieeexplore.ieee.org/xpl/conhome/8339103/proceeding (Proceedings)

Conference

Conference	Australian Microwave Symposium 2018
Abbreviated title	AMS 2018
Country/Territory	Australia
City	Brisbane
Period	6/02/18 → 7/02/18
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8339103/proceeding (Proceedings)

Keywords

Adaptive wavelet based detection algorithm
Chipless RFID
Coloured noise

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10.1109/AUSMS.2018.8346952

Cite this

Bibile, Meriam A. ; Karmakar, Nemai A. / Detection error rate analysis using coloured noise for the movement of chipless RFID tag. 2018 Australian Microwave Symposium (AMS) - Conference Proceedings. editor / Christophe Fumeaux ; Konstanty Bialkowski ; Withawat Withayachumnankul. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2018. pp. 1-2

@inproceedings{b6017bcfe9db4767950b0b406ebc9b3c,

title = "Detection error rate analysis using coloured noise for the movement of chipless RFID tag",

abstract = "In this paper the detected signal of a chipless RFID tag in motion is analysed. The decoding of the tag frequency ID is performed by applying the adaptive wavelet based detection algorithm. The detection error rate is analysed in simulation in Matlab by applying coloured noise. These results are compared with the experimental results observed at different distances from the receiver antenna while moving the tag in vertical stepped movement. This helps to improve the sensitivity of the reader in development for the detection of chipless RFID tags in motion.",

keywords = "Adaptive wavelet based detection algorithm, Chipless RFID, Coloured noise",

author = "Bibile, {Meriam A.} and Karmakar, {Nemai A.}",

year = "2018",

doi = "10.1109/AUSMS.2018.8346952",

language = "English",

isbn = "9781538625699",

pages = "1--2",

editor = "Christophe Fumeaux and Konstanty Bialkowski and Withawat Withayachumnankul",

booktitle = "2018 Australian Microwave Symposium (AMS) - Conference Proceedings",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "Australian Microwave Symposium 2018, AMS 2018 ; Conference date: 06-02-2018 Through 07-02-2018",

url = "https://ieeexplore.ieee.org/xpl/conhome/8339103/proceeding",

}

Bibile, MA & Karmakar, NA 2018, Detection error rate analysis using coloured noise for the movement of chipless RFID tag. in C Fumeaux, K Bialkowski & W Withayachumnankul (eds), 2018 Australian Microwave Symposium (AMS) - Conference Proceedings. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1-2, Australian Microwave Symposium 2018, Brisbane, Queensland, Australia, 6/02/18. https://doi.org/10.1109/AUSMS.2018.8346952

Detection error rate analysis using coloured noise for the movement of chipless RFID tag. / Bibile, Meriam A.; Karmakar, Nemai A.
2018 Australian Microwave Symposium (AMS) - Conference Proceedings. ed. / Christophe Fumeaux; Konstanty Bialkowski; Withawat Withayachumnankul. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 1-2.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Detection error rate analysis using coloured noise for the movement of chipless RFID tag

AU - Bibile, Meriam A.

AU - Karmakar, Nemai A.

N1 - Conference code: 3RD

PY - 2018

Y1 - 2018

N2 - In this paper the detected signal of a chipless RFID tag in motion is analysed. The decoding of the tag frequency ID is performed by applying the adaptive wavelet based detection algorithm. The detection error rate is analysed in simulation in Matlab by applying coloured noise. These results are compared with the experimental results observed at different distances from the receiver antenna while moving the tag in vertical stepped movement. This helps to improve the sensitivity of the reader in development for the detection of chipless RFID tags in motion.

AB - In this paper the detected signal of a chipless RFID tag in motion is analysed. The decoding of the tag frequency ID is performed by applying the adaptive wavelet based detection algorithm. The detection error rate is analysed in simulation in Matlab by applying coloured noise. These results are compared with the experimental results observed at different distances from the receiver antenna while moving the tag in vertical stepped movement. This helps to improve the sensitivity of the reader in development for the detection of chipless RFID tags in motion.

KW - Adaptive wavelet based detection algorithm

KW - Chipless RFID

KW - Coloured noise

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U2 - 10.1109/AUSMS.2018.8346952

DO - 10.1109/AUSMS.2018.8346952

M3 - Conference Paper

AN - SCOPUS:85049672033

SN - 9781538625699

SP - 1

EP - 2

BT - 2018 Australian Microwave Symposium (AMS) - Conference Proceedings

A2 - Fumeaux, Christophe

A2 - Bialkowski, Konstanty

A2 - Withayachumnankul, Withawat

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - Australian Microwave Symposium 2018

Y2 - 6 February 2018 through 7 February 2018

ER -

Detection error rate analysis using coloured noise for the movement of chipless RFID tag

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Keywords

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