Poster: Precise indoor localization using PHY information

Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, Tom Minka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This poster shows the viability of precise indoor localization using physical layer information in WiFi systems. We find that channel frequency responses across multiple OFDM subcarriers can be suitably aggregated into a location signature. While these signatures vary over time and environmental mobility, we notice that their core structure preserves certain properties that are amenable to localization. We demonstrate these ideas through a functional system, implemented on off-the-shelf Intel 5300 cards (that are designed to export per-subcarrier information to the driver). We evaluate the system in a busy engineering building, a cafeteria, and the university museum, and demonstrate localization accuracies in the granularity of 1m x 1m boxes, called spots. Results show that our system, PinLoc, is able to localize users to a spot with 90% mean accuracy, while incurring less than 6% false positives. We believe this is an important step forward, compared to the best indoor localization schemes of today.

Original languageEnglish (US)
Title of host publicationMobiSys'11 - Compilation Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services and Co-located Workshops
Pages413
Number of pages1
DOIs
StatePublished - 2011
Externally publishedYes
Event9th International Conference on Mobile Systems, Applications, and Services, MobiSys'11 and Co-located Workshops - Bethesda, MD, United States
Duration: Jun 28 2011Jul 1 2011

Other

Other9th International Conference on Mobile Systems, Applications, and Services, MobiSys'11 and Co-located Workshops
CountryUnited States
CityBethesda, MD
Period6/28/117/1/11

Keywords

  • localization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Communication

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