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

fYear

2013

fDate

27-30 May 2013

Firstpage

1

Lastpage

1

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Test Symposium (ETS), 2013 18th IEEE European

Conference_Location

Avignon

Print_ISBN

978-1-4673-6376-1

Type

conf

DOI

10.1109/ETS.2013.6569380

Filename

6569380