TY - GEN
T1 - You are facing the Mona Lisa
T2 - 10th International Conference on Mobile Systems, Applications, and Services, MobiSys'12
AU - Sen, Souvik
AU - Radunović, Božidar
AU - Choudhury, Romit Roy
AU - Minka, Tom
PY - 2012
Y1 - 2012
N2 - This paper explores the viability of precise indoor localization using physical layer information in WiFi systems. We find evidence that channel responses from multiple OFDM subcarriers can be a promising location signature. While these signatures certainly vary over time and environmental mobility, we notice that their core structure preserves certain properties that are amenable to localization. We attempt to harness these opportunities through a functional system called PinLoc, implemented on off-the-shelf Intel 5300 cards. We evaluate the system in a busy engineering building, a crowded student center, a cafeteria, and at the Duke University museum, and demonstrate localization accuracies in the granularity of 1m x 1m boxes, called "spots". Results from 100 spots show that PinLoc is able to localize users to the correct spot with 89% 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, such as Horus.
AB - This paper explores the viability of precise indoor localization using physical layer information in WiFi systems. We find evidence that channel responses from multiple OFDM subcarriers can be a promising location signature. While these signatures certainly vary over time and environmental mobility, we notice that their core structure preserves certain properties that are amenable to localization. We attempt to harness these opportunities through a functional system called PinLoc, implemented on off-the-shelf Intel 5300 cards. We evaluate the system in a busy engineering building, a crowded student center, a cafeteria, and at the Duke University museum, and demonstrate localization accuracies in the granularity of 1m x 1m boxes, called "spots". Results from 100 spots show that PinLoc is able to localize users to the correct spot with 89% 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, such as Horus.
KW - application
KW - cross-layer
KW - localization
KW - wireless
UR - http://www.scopus.com/inward/record.url?scp=84864356204&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864356204&partnerID=8YFLogxK
U2 - 10.1145/2307636.2307654
DO - 10.1145/2307636.2307654
M3 - Conference contribution
AN - SCOPUS:84864356204
SN - 9781450313018
T3 - MobiSys'12 - Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services
SP - 183
EP - 196
BT - MobiSys'12 - Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services
Y2 - 25 June 2012 through 29 June 2012
ER -