Paper Info
Title
Calibrating Nonlinear Mobile Sensors
Abstract
In-field calibration of sensor devices is known to be a challenging problem because there is often no access to a controlled signal field and/or a pre-calibrated device to provide the ground truth. Nonlinear characteristics of sensor devices make the calibration problem even harder. In this paper, we describe two blind calibration schemes for nonlinear mobile sensor nodes: nullspace based calibration (NBC) and moments based calibration (MBC). Simulation results are included to demonstrate the effectiveness of the proposed schemes. MBC scheme is also used to calibrate light sensors on MICA2 motes in a light field generated by a light bulb. Results show that significant error reduction can be achieved when nonlinearity is considered.
Year
DOI
Venue
2008
10.1109/SAHCN.2008.70
SECON
Keywords
Field
DocType
calibration,nullspace based calibration,in-field calibration,nonlinear mobile sensors,significant error reduction,moments based calibration,mobile radio,blind calibration schemes,wireless sensor networks,time measurement,noise measurement,ground truth,collaboration,polynomials,error correction,curve fitting,light field,biosensors,sensors
Mobile radio,Nonlinear system,Noise measurement,Computer science,Error detection and correction,Light field,Electronic engineering,Ground truth,Wireless sensor network,Calibration,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-1776-6
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Chao Wang140427.12
Parmesh Ramanathan217019.99
Kewal K. Saluja31483141.49