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 | Proceedings of the 48th European Microwave Conference |
| Editors | Ferran Martin, Francisco Mesa |
| Place of Publication | Piscataway NJ USA |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 973-976 |
| Number of pages | 4 |
| ISBN (Electronic) | 9782874870514, 9782874870507 |
| ISBN (Print) | 9781538652855 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | European Microwave Conference 2018 - Madrid, Spain Duration: 23 Sep 2018 → 27 Sep 2018 Conference number: 48th https://ieeexplore.ieee.org/xpl/conhome/8528202/proceeding (Proceedings) |
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