Title :
Data fusion with a faulty sensor
Author :
Akkihal, Shivanand I. ; Wise, Gary L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
A set theoretic approach to data fusion when one of the sensors is faulty is considered in this paper. If the fusion center implements a likelihood ratio test and if it does not have any knowledge of this fault, the performance of the system is different than its nominal performance. The changes in the error probabilities depend on the type of the fault and on the threshold value of the fusion center test. Expressions for the changes in the values of the error probabilities are derived for the cases of dissimilar and similar sensors. It is shown that the system false alarm probability increases significantly for some type of faults, whereas the system detection probability decreases significantly for some other faults. A numerical example is given to illustrate the results
Keywords :
decision theory; probability; random processes; sensor fusion; set theory; data fusion; dissimilar sensors; error probabilities; false alarm probability; faulty sensor; fusion center test; set theoretic approach; similar sensors; threshold value; Fault detection; Sensor fusion; Sensor systems; Testing;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.529328
