Detection, Localization, and Sensing of Millimeter-Wave Van Atta Array-Based Chipless RFID Tags for Emerging 6G Applications

The sixth-generation (6G) vision of a massively interconnected world positions chipless radio-frequency identification (RFID) as a key enabling technology for providing low-cost, battery-free object identification and localization. This paper presents a method and a prototype system for simultaneous reading and localization of prototype millimeter-wave (V-band) Van Atta array-based frequency coded chipless RFID tags using a Vector Network Analyzer. Successful reading and localization in the anechoic and reflective environment is presented. The employed tags can be localized with a mean angular error of 1 degree and a mean range determination error of about 1.3 cm at distances up to 4 m. The system’s robustness is further confirmed through successful operation against challenging backgrounds, including large metallic surfaces. A proof-of-concept 4-bit frequency-coded ID is reliably decoded and positioned, demonstrating the system’s capabilities. To the best of the authors’ knowledge, this is the first work to present a practical implementation and validation of simultaneous localization and identification for millimeter-wave chipless and batteryless RFID tags, representing a step towards realizing joint localization and sensing systems in future 6G applications. The proposed solution also offers the highest bit encoding capacity and the longest read-out distance among all millimeter-wave (mmWave) solutions known to the authors.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-09-17
DOI
https://doi.org/10.1109/jiot.2025.3611119
Primary Topic
RFID technology advancements
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection, Localization, and Sensing of Millimeter-Wave Van Atta Array-Based Chipless RFID Tags for Emerging 6G Applications

K. Trzebiatowski, Łukasz Kulas, Krzysztof Nyka
IEEE Internet of Things Journal
RFID technology advancements
article

Detection, Localization, and Sensing of Millimeter-Wave Van Atta Array-Based Chipless RFID Tags for Emerging 6G Applications

K. Trzebiatowski, Łukasz Kulas, Krzysztof Nyka
article en

Abstract

The sixth-generation (6G) vision of a massively interconnected world positions chipless radio-frequency identification (RFID) as a key enabling technology for providing low-cost, battery-free object identification and localization. This paper presents a method and a prototype system for simultaneous reading and localization of prototype millimeter-wave (V-band) Van Atta array-based frequency coded chipless RFID tags using a Vector Network Analyzer. Successful reading and localization in the anechoic and reflective environment is presented. The employed tags can be localized with a mean angular error of 1 degree and a mean range determination error of about 1.3 cm at distances up to 4 m. The system’s robustness is further confirmed through successful operation against challenging backgrounds, including large metallic surfaces. A proof-of-concept 4-bit frequency-coded ID is reliably decoded and positioned, demonstrating the system’s capabilities. To the best of the authors’ knowledge, this is the first work to present a practical implementation and validation of simultaneous localization and identification for millimeter-wave chipless and batteryless RFID tags, representing a step towards realizing joint localization and sensing systems in future 6G applications. The proposed solution also offers the highest bit encoding capacity and the longest read-out distance among all millimeter-wave (mmWave) solutions known to the authors.

IEEE Internet of Things JournalVol. 12(23)
Gdańsk University of Technology (PL), Digital Science (United States) (US), University of Computer Engineering and Telecommunications (PL)
Openalex Percentile: Top 63%
RFID technology advancements
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.