The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Avoiding multipath to revive inbuilding WiFi localization
Abstract
Despite of several years of innovative research, indoor localization is still not mainstream. Existing techniques either employ cumbersome fingerprinting, or rely upon the deployment of additional infrastructure. Towards a solution that is easier to adopt, we propose CUPID, which is free from these restrictions, yet is comparable in accuracy. While existing WiFi based solutions are highly susceptible to indoor multipath, CUPID utilizes physical layer (PHY) information to extract the signal strength and the angle of only the direct path, successfully avoiding the effect of multipath reflections. Our main observation is that natural human mobility, when combined with PHY layer information, can help in accurately estimating the angle and distance of a mobile device from an wireless access point (AP). Real-world indoor experiments using off-the-shelf wireless chipsets confirm the feasibility of CUPID. In addition, while previous approaches rely on multiple APs, CUPID is able to localize a device when only a single AP is present. When a few more APs are available, CUPID can improve the median localization error to 2.7m, which is comparable to schemes that rely on expensive fingerprinting or additional infrastructure.
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Cites
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
Cited by
Understanding and Modeling of WiFi Signal Based Human Activity Recognition
Wang, W., Liu, A. X., Shahzad, M., Ling, K., & Lu, S. (2015) · Proceedings of the 21st Annual International Conference on Mobile Computing and Networking · doi:10.1145/2789168.2790093 · Cited by 1,110
Wireless Sensing for Human Activity: A Survey
Liu, J., Liu, H., Chen, Y., Wang, Y., & Wang, C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2934489 · Cited by 414
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
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
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
Metadata
- Authors
- Sen, S., Lee, J., Kim, K.-H., & Congdon, P.
- Venue
- Proceeding of the 11th annual international conference on Mobile systems, applications, and services
- Publisher
- ACM
- Published
- 2013-06-25
- Pages
- 249-262
- OpenAlex
- W2024796780
- Cited by
- 392
- References
- 2
- FWCI
- 38.66
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Sen, S., Lee, J., Kim, K.-H., & Congdon, P. (2013). Avoiding multipath to revive inbuilding WiFi localization. Proceeding of the 11th annual international conference on Mobile systems, applications, and services. https://doi.org/10.1145/2462456.2464463
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