This work presents a novel approach for improving the detection capabilities of a chipless Radio Frequency Identification (RFID) system based on quantile regression. The main drawback of chipless RFID systems is the limited response of the tags due to the low-quality factor of the resonators, used to encode the information in the tag. The detection becomes very challenging especially for real-time data when noise is present. This work proposes the use of quantile regression to enhance the system performance. A chipless RFID system prototype has been fabricated (as a proof of concept) and experimentally assessed. The obtained results are quite satisfactory in the potentialities of the proposed methodology.
A novel detection technique for a chipless RFID system using quantile regression / Manekiya, Mohammedhusen; Donelli, Massimo; Kumar, Abhinav; Menon, Sreedevi K.. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 7:12(2018), pp. 409.1-409.17. [10.3390/electronics7120409]
A novel detection technique for a chipless RFID system using quantile regression
Manekiya, Mohammedhusen;Donelli, Massimo;
2018-01-01
Abstract
This work presents a novel approach for improving the detection capabilities of a chipless Radio Frequency Identification (RFID) system based on quantile regression. The main drawback of chipless RFID systems is the limited response of the tags due to the low-quality factor of the resonators, used to encode the information in the tag. The detection becomes very challenging especially for real-time data when noise is present. This work proposes the use of quantile regression to enhance the system performance. A chipless RFID system prototype has been fabricated (as a proof of concept) and experimentally assessed. The obtained results are quite satisfactory in the potentialities of the proposed methodology.File | Dimensione | Formato | |
---|---|---|---|
electronics-07-00409-v2-1.pdf
accesso aperto
Tipologia:
Versione editoriale (Publisher’s layout)
Licenza:
Creative commons
Dimensione
690.47 kB
Formato
Adobe PDF
|
690.47 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione