Frequency-Coded Chipless RFID Tags: Notch Model, Detection, Angular Orientation, and Coverage Measurements.

angular dependency chipless RFID measurements

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
26 Mar 2020
Historique:
received: 03 02 2020
revised: 09 03 2020
accepted: 22 03 2020
entrez: 1 4 2020
pubmed: 1 4 2020
medline: 1 4 2020
Statut: epublish

Résumé

This paper focuses on the frequency coded chipless Radio Frequency Identification (RFID) wherein the tag's information bits are physically encoded by the resonators' notch position which has an effect on the frequency spectrum of the backscattered or retransmitted signal of the tag. In this regard, the notch analytical model is developed to consider the notch position and quality factor. Besides, the radar cross section (RCS) mathematical representation of the tag is introduced to consider the incident wave's polarization and orientation angles. Hence, the influences of the incident wave's orientation and polarization mismatches on the detection performance are quantified. After that, the tag measurement errors and limitations are comprehensively explained. Therefore, approaches to measureing RCS- and retransmission-based tags are introduced. Furthermore, the maximum reading range is theoretically calculated and practically verified considering the Federal Communications Commission (FCC) Ultra Wideband (UWB) regulations. In all simulations and experiments conducted, a mono-static configuration is considered, in which one antenna is utilized for transmission and reception.

Identifiants

pubmed: 32224951
pii: s20071843
doi: 10.3390/s20071843
pmc: PMC7180995
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2012;12(7):8675-90
pubmed: 23012511

Auteurs

Jahangir Alam (J)

Institute of Digital Signal Processing, Faculty of Engineering, University of Duisburg-Essen, 47057 Duisburg, Germany.

Maher Khaliel (M)

Institute of Digital Signal Processing, Faculty of Engineering, University of Duisburg-Essen, 47057 Duisburg, Germany.
Benha Faculty of Engineering, Benha University, 13511 Benha, Egypt.

Abdelfattah Fawky (A)

Institute of Digital Signal Processing, Faculty of Engineering, University of Duisburg-Essen, 47057 Duisburg, Germany.

Ahmed El-Awamry (A)

Institute of Digital Signal Processing, Faculty of Engineering, University of Duisburg-Essen, 47057 Duisburg, Germany.
Benha Faculty of Engineering, Benha University, 13511 Benha, Egypt.

Thomas Kaiser (T)

Institute of Digital Signal Processing, Faculty of Engineering, University of Duisburg-Essen, 47057 Duisburg, Germany.

Classifications MeSH