Title :
A minimum MSE sensor fusion algorithm with tolerance to multiple faults
Author :
Sarbishei, O. ; Fekr, Atena Roshan ; Janidarmian, Majid ; Nahill, Benjamin ; Radecka, Katarzyna
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Abstract :
Sensor data fusion is a common approach to provide accurate and fault-tolerant sensor readouts in a multisensor system. This paper proposes an efficient data fusion algorithm using convex optimization for a multi-sensor system with given post-calibration statistical characteristics. A preprocessing step called screening is proposed to quickly detect multiple faulty sensors and exclude them from the fusion. Experimental results are evaluated on temperature sensors.
Keywords :
convex programming; mean square error methods; sensor fusion; temperature sensors; convex optimization; fault-tolerant sensor readout; minimum MSE sensor fusion algorithm; multiple-faulty sensor detection; multisensor system; post-calibration statistical characteristics; screening; sensor data fusion; temperature sensors; Algorithm design and analysis; Computational modeling; Convex functions; Data integration; Fault tolerance; Fault tolerant systems; Temperature sensors;
Conference_Titel :
Test Symposium (ETS), 2013 18th IEEE European
Conference_Location :
Avignon
Print_ISBN :
978-1-4673-6376-1
DOI :
10.1109/ETS.2013.6569380