TY - GEN
T1 - Precise indoor localization using PHY layer information
AU - Sen, Souvik
AU - Choudhury, Romit Roy
AU - Radunovic, Bozidar
AU - Minka, Tom
PY - 2011
Y1 - 2011
N2 - This paper shows the viability of precise indoor localization using physical layer information in WiFi systems. We find that channel frequency responses across multiple OFDM sub-carriers can be suitably aggregated into a location fingerprint. While these fingerprints 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 prototype, implemented on off-the-shelf Intel 5300 cards (that export per-subcarrier information to the driver). We evaluate the prototype using the existing APs inside a busy building, a cafeteria, and a museum, and demonstrate localization accuracies in the granularity of 1m × 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 holds promise towards an important development in indoor localization.
AB - This paper shows the viability of precise indoor localization using physical layer information in WiFi systems. We find that channel frequency responses across multiple OFDM sub-carriers can be suitably aggregated into a location fingerprint. While these fingerprints 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 prototype, implemented on off-the-shelf Intel 5300 cards (that export per-subcarrier information to the driver). We evaluate the prototype using the existing APs inside a busy building, a cafeteria, and a museum, and demonstrate localization accuracies in the granularity of 1m × 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 holds promise towards an important development in indoor localization.
KW - application
KW - cross-layer
KW - localization
KW - wireless
UR - http://www.scopus.com/inward/record.url?scp=83455177208&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=83455177208&partnerID=8YFLogxK
U2 - 10.1145/2070562.2070580
DO - 10.1145/2070562.2070580
M3 - Conference contribution
AN - SCOPUS:83455177208
SN - 9781450310598
T3 - Proceedings of the 10th ACM Workshop on Hot Topics in Networks, HotNets-10
BT - Proceedings of the 10th ACM Workshop on Hot Topics in Networks, HotNets-10
T2 - 10th ACM SIGCOMM Workshop on Hot Topics in Networks, HotNets-10
Y2 - 14 November 2011 through 15 November 2011
ER -