TY - GEN
T1 - Noise reduction for variance-based device-free localization and tracking
AU - Zhao, Yang
AU - Patwari, Neal
PY - 2011
Y1 - 2011
N2 - Human motion in the vicinity of a wireless link causes variations in the link received signal strength (RSS). Device-free localization (DFL) systems, such as variance-based radio tomographic imaging (VRTI) use these RSS variations in a wireless network to detect, locate and track people in the area of the network, even through walls. However, intrinsic motion, such as branches moving in the wind, rotating or vibrating machinery, also causes RSS variations which degrade the performance of a DFL system. In this paper, we propose and evaluate a subspace decomposition method subspace variance-based radio tomography (SubVRT) to reduce the impact of the variations caused by intrinsic motion. Experimental results show that the SubVRT algorithm reduces localization root mean squared error (RMSE) by 41%. In addition, the Kalman filter tracking results from SubVRT have 97% of errors less than 1.4 m, a 65% improvement compared to tracking results from VRTI.
AB - Human motion in the vicinity of a wireless link causes variations in the link received signal strength (RSS). Device-free localization (DFL) systems, such as variance-based radio tomographic imaging (VRTI) use these RSS variations in a wireless network to detect, locate and track people in the area of the network, even through walls. However, intrinsic motion, such as branches moving in the wind, rotating or vibrating machinery, also causes RSS variations which degrade the performance of a DFL system. In this paper, we propose and evaluate a subspace decomposition method subspace variance-based radio tomography (SubVRT) to reduce the impact of the variations caused by intrinsic motion. Experimental results show that the SubVRT algorithm reduces localization root mean squared error (RMSE) by 41%. In addition, the Kalman filter tracking results from SubVRT have 97% of errors less than 1.4 m, a 65% improvement compared to tracking results from VRTI.
UR - https://www.scopus.com/pages/publications/80052806340
U2 - 10.1109/SAHCN.2011.5984895
DO - 10.1109/SAHCN.2011.5984895
M3 - 会议稿件
AN - SCOPUS:80052806340
SN - 9781457700934
T3 - 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2011
SP - 179
EP - 187
BT - 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2011
T2 - 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2011
Y2 - 27 June 2011 through 30 June 2011
ER -