TY - GEN
T1 - Power compensation in WLAN positioning using a smartphone
AU - Yamamoto, Masaaki
AU - Ohtsuki, Tomoaki
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In regard to achieving accurate WLAN positioning, a model of the power absorption by a person was experimentally devised. Parameters of the model are estimated using maximum likelihood estimation (MLE), and the angle of power absorption is measured by a magnetic sensor built into a smartphone. On the basis of the measured angle, the proposed method compensates the power absorption and the influence of multipath fading. According to evaluations by experiment and simulation, positioning error of the proposed method is 28% to 32% lower than that of the conventional method, and the proposed method achieves RMSE of 2.26 m for sparse deployment of access points.
AB - In regard to achieving accurate WLAN positioning, a model of the power absorption by a person was experimentally devised. Parameters of the model are estimated using maximum likelihood estimation (MLE), and the angle of power absorption is measured by a magnetic sensor built into a smartphone. On the basis of the measured angle, the proposed method compensates the power absorption and the influence of multipath fading. According to evaluations by experiment and simulation, positioning error of the proposed method is 28% to 32% lower than that of the conventional method, and the proposed method achieves RMSE of 2.26 m for sparse deployment of access points.
KW - Indoor
KW - Positioning
KW - Smartphone
KW - WLAN
UR - http://www.scopus.com/inward/record.url?scp=84903711997&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84903711997&partnerID=8YFLogxK
U2 - 10.1109/ISSNIP.2014.6827619
DO - 10.1109/ISSNIP.2014.6827619
M3 - Conference contribution
AN - SCOPUS:84903711997
SN - 9781479928439
T3 - IEEE ISSNIP 2014 - 2014 IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Conference Proceedings
BT - IEEE ISSNIP 2014 - 2014 IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Conference Proceedings
PB - IEEE Computer Society
T2 - 9th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, IEEE ISSNIP 2014
Y2 - 21 April 2014 through 24 April 2014
ER -