HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Accurate Positioning System Based on Chipless Technology

Abstract : In this paper, we present an accurate method to localize an object on a 2D plan using the 1 chipless technology. This method requires a single antenna and a chipless tag. Phase difference 2 between a reference position and an unknown position is used to estimate the distances between each 3 resonator and the antenna. Then, multi-lateration is used to determine the position of the chipless tag 4 in the plan. This method provides a better accuracy compared to classical ones based on received 5 signal strength indicator (RSSI) or round-trip time-of-flight. In a square of 10 cm side above the 6 antenna, error over distance determination between each resonators and the antenna is less than 7 2 mm and localization error on the tag coordinates in the 2D plan is lower than 1 cm. To increase 8 the robustness of this method, we propose also a selection of a subset of the resonators used by the 9 multi-lateration process. This method permits to increase the localization area by more than 20%. All 10 the results have been obtained in real environment, and at different heights to show the robustness 11 of the proposed approach. Finally, localization sensors based on this method can also be used as 12 classical chipless RFID tag for identification with the same coding capacity.
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02064576
Contributor : Nicolas Barbot Connect in order to contact the contributor
Submitted on : Thursday, March 21, 2019 - 10:12:02 AM
Last modification on : Wednesday, November 3, 2021 - 6:19:18 AM

File

template.pdf
Publisher files allowed on an open archive

Identifiers

Collections

LCIS | UGA

Citation

Nicolas Barbot, Etienne Perret. Accurate Positioning System Based on Chipless Technology. Sensors, MDPI, 2019, ⟨10.3390/s19061341⟩. ⟨hal-02064576v2⟩

Share

Metrics

Record views

57

Files downloads

71