The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
SpotFi: Decimeter Level Localization Using WiFi
Abstract
This paper presents the design and implementation of SpotFi, an accurate indoor localization system that can be deployed on commodity WiFi infrastructure. SpotFi only uses information that is already exposed by WiFi chips and does not require any hardware or firmware changes, yet achieves the same accuracy as state-of-the-art localization systems. SpotFi makes two key technical contributions. First, SpotFi incorporates super-resolution algorithms that can accurately compute the angle of arrival (AoA) of multipath components even when the access point (AP) has only three antennas. Second, it incorporates novel filtering and estimation techniques to identify AoA of direct path between the localization target and AP by assigning values for each path depending on how likely the particular path is the direct path. Our experiments in a multipath rich indoor environment show that SpotFi achieves a median accuracy of 40 cm and is robust to indoor hindrances such as obstacles and multipath.
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Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
The Horus WLAN location determination system
Youssef, M., & Agrawala, A. (2005) · Proceedings of the 3rd international conference on Mobile systems, applications, and services · doi:10.1145/1067170.1067193 · Cited by 1,653
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Applying mobile phone data to travel behaviour research: A literature review
Wang, Z., He, S. Y., & Leung, Y. (2018) · Travel Behaviour and Society · doi:10.1016/j.tbs.2017.02.005 · Cited by 367
Widar: Decimeter-Level Passive Tracking via Velocity Monitoring with Commodity Wi-Fi
Qian, K., Wu, C., Yang, Z., Liu, Y., & Jamieson, K. (2017) · Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing · doi:10.1145/3084041.3084067 · Cited by 328
6G: Connecting Everything by 1000 Times Price Reduction
Zhang, S., Xiang, C., & Xu, S. (2020) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2020.2980003 · Cited by 105
DeepCount: Crowd Counting with WiFi via Deep Learning
Liu, S., Zhao, Y., Xue, F., Chen, B., & Chen, X. (2019) · arXiv · doi:10.48550/arxiv.1903.05316 · Cited by 105
Zero-Effort In-Home Sleep and Insomnia Monitoring using Radio Signals
Hsu, C.-Y., Ahuja, A., Yue, S., Hristov, R., Kabelac, Z., & Katabi, D. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3130924 · Cited by 97
Metadata
- Authors
- Kotaru, M., Joshi, K., Bharadia, D., & Katti, S.
- Venue
- Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication
- Publisher
- ACM
- Published
- 2015-08-17
- Pages
- 269-282
- OpenAlex
- W1983301216
- Cited by
- 1,169
- References
- 3
- FWCI
- 109.70
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Kotaru, M., Joshi, K., Bharadia, D., & Katti, S. (2015). SpotFi: Decimeter Level Localization Using WiFi. Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication. https://doi.org/10.1145/2785956.2787487
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