TY - GEN
T1 - Poster
T2 - 9th International Conference on Mobile Systems, Applications, and Services, MobiSys'11 and Co-located Workshops
AU - Sen, Souvik
AU - Radunovic, Bozidar
AU - Roy Choudhury, Romit
AU - Minka, Tom
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - localization
UR - http://www.scopus.com/inward/record.url?scp=79961078457&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79961078457&partnerID=8YFLogxK
U2 - 10.1145/1999995.2000062
DO - 10.1145/1999995.2000062
M3 - Conference contribution
AN - SCOPUS:79961078457
SN - 9781450306430
T3 - MobiSys'11 - Compilation Proceedings of the 9th International Conference on Mobile Systems, Applications and Services and Co-located Workshops
SP - 413
BT - MobiSys'11 - Compilation Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services and Co-located Workshops
Y2 - 28 June 2011 through 1 July 2011
ER -