The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Dude, where's my card?: RFID positioning that works with multipath and non-line of sight
Abstract
RFIDs are emerging as a vital component of the Internet of Things. In 2012, billions of RFIDs have been deployed to locate equipment, track drugs, tag retail goods, etc. Current RFID systems, however, can only identify whether a tagged object is within radio range (which could be up to tens of meters), but cannot pinpoint its exact location. Past proposals for addressing this limitation rely on a line-of-sight model and hence perform poorly when faced with multipath effects or non-line-of-sight, which are typical in real-world deployments. This paper introduces the first fine-grained RFID positioning system that is robust to multipath and non-line-of-sight scenarios. Unlike past work, which considers multipath as detrimental, our design exploits multipath to accurately locate RFIDs. The intuition underlying our design is that nearby RFIDs experience a similar multipath environment (e.g., reflectors in the environment) and thus exhibit similar multipath profiles. We capture and extract these multipath profiles by using a synthetic aperture radar (SAR) created via antenna motion. We then adapt dynamic time warping (DTW) techniques to pinpoint a tag's location. We built a prototype of our design using USRP software radios. Results from a deployment of 200 commercial RFIDs in our university library demonstrate that the new design can locate misplaced books with a median accuracy of 11~cm.
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Cites
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Cited by
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
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ToneTrack: Leveraging Frequency-Agile Radios for Time-Based Indoor Wireless Localization
Xiong, J., Sundaresan, K., & Jamieson, K. (2015) · Proceedings of the 21st Annual International Conference on Mobile Computing and Networking · doi:10.1145/2789168.2790125 · Cited by 331
Phaser: enabling phased array signal processing on commodity WiFi access points
Gjengset, J., Xiong, J., McPhillips, G., & Jamieson, K. (2014) · Proceedings of the 20th annual international conference on Mobile computing and networking · doi:10.1145/2639108.2639139 · Cited by 301
Edge Assisted Mobile Semantic Visual SLAM
Xu, J., Cao, H., Li, D., Huang, K., Qian, C., Shangguan, L., & Yang, Z. (2020) · IEEE INFOCOM 2020 - IEEE Conference on Computer Communications · doi:10.1109/infocom41043.2020.9155438 · Cited by 101
RFID based real-time recognition of ongoing gesture with adversarial learning
Yu, Y., Wang, D., Zhao, R., & Zhang, Q. (2019) · Proceedings of the 17th Conference on Embedded Networked Sensor Systems · doi:10.1145/3356250.3360045 · Cited by 68
Metadata
- Authors
- Wang, J., & Katabi, D.
- Venue
- Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
- Publisher
- ACM
- Published
- 2013-08-27
- Pages
- 51-62
- OpenAlex
- W2158090937
- Cited by
- 482
- References
- 18
- FWCI
- 54.94
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wang, J., & Katabi, D. (2013). Dude, where's my card?: RFID positioning that works with multipath and non-line of sight. Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM. https://doi.org/10.1145/2486001.2486029
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