Abstract
Using a hybrid method of mm-wave frequency scanning and pattern-recognition techniques, a highly accurate chipless Radio Frequency Identification (RFID) system in 60 GHz free spectrum has been developed. It contains high encoding capacity chipless tag based on alphabetic characters printed onto a low-cost substrate. The individual tag is scanned with a pair of orthogonally polarized horn antennas in a few view angles within the 57-64 GHz band. The resulted cross-polar backscattered signal is processed to enable feature learning and classifications using different networks, such as Support Vector Machines (SVMs), K-Nearest neighbors (KNNs) and Ensembles. This method yields > 95% reading accuracy which demonstrates great improvement in many low-cost chipless tag applications.
| Original language | English |
|---|---|
| Title of host publication | 2018 48th European Microwave Conference, EuMC 2018 |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 973-976 |
| Number of pages | 4 |
| ISBN (Electronic) | 9782874870514 |
| DOIs | |
| Publication status | Published - 20 Nov 2018 |
| Event | European Microwave Conference 2018 - Madrid, Spain Duration: 23 Sep 2018 → 27 Sep 2018 Conference number: 48th https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/mostRecentIssue.jsp?punumber=8528202 |
Conference
| Conference | European Microwave Conference 2018 |
|---|---|
| Abbreviated title | EUMC 2018 |
| Country | Spain |
| City | Madrid |
| Period | 23/09/18 → 27/09/18 |
| Internet address |
Keywords
- classification algorithms
- Hybrid chipless RFID
- Internet of Things
- nearest neighbor searches
- pattern analysis
- RFID tags
- support vector machines
Cite this
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An enhanced chipless RFID system in 60 GHz using pattern recognition techniques. / Arjomandi, Larry M.; Karmakar, Nemai C.
2018 48th European Microwave Conference, EuMC 2018. IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 973-976 8541656.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
TY - GEN
T1 - An enhanced chipless RFID system in 60 GHz using pattern recognition techniques
AU - Arjomandi, Larry M.
AU - Karmakar, Nemai C.
PY - 2018/11/20
Y1 - 2018/11/20
N2 - Using a hybrid method of mm-wave frequency scanning and pattern-recognition techniques, a highly accurate chipless Radio Frequency Identification (RFID) system in 60 GHz free spectrum has been developed. It contains high encoding capacity chipless tag based on alphabetic characters printed onto a low-cost substrate. The individual tag is scanned with a pair of orthogonally polarized horn antennas in a few view angles within the 57-64 GHz band. The resulted cross-polar backscattered signal is processed to enable feature learning and classifications using different networks, such as Support Vector Machines (SVMs), K-Nearest neighbors (KNNs) and Ensembles. This method yields > 95% reading accuracy which demonstrates great improvement in many low-cost chipless tag applications.
AB - Using a hybrid method of mm-wave frequency scanning and pattern-recognition techniques, a highly accurate chipless Radio Frequency Identification (RFID) system in 60 GHz free spectrum has been developed. It contains high encoding capacity chipless tag based on alphabetic characters printed onto a low-cost substrate. The individual tag is scanned with a pair of orthogonally polarized horn antennas in a few view angles within the 57-64 GHz band. The resulted cross-polar backscattered signal is processed to enable feature learning and classifications using different networks, such as Support Vector Machines (SVMs), K-Nearest neighbors (KNNs) and Ensembles. This method yields > 95% reading accuracy which demonstrates great improvement in many low-cost chipless tag applications.
KW - classification algorithms
KW - Hybrid chipless RFID
KW - Internet of Things
KW - nearest neighbor searches
KW - pattern analysis
KW - RFID tags
KW - support vector machines
UR - http://www.scopus.com/inward/record.url?scp=85059812004&partnerID=8YFLogxK
U2 - 10.23919/EuMC.2018.8541656
DO - 10.23919/EuMC.2018.8541656
M3 - Conference Paper
SP - 973
EP - 976
BT - 2018 48th European Microwave Conference, EuMC 2018
PB - IEEE, Institute of Electrical and Electronics Engineers
ER -