DocumentCode
1017414
Title
Optimal multiple level decision fusion with distributed sensors
Author
Li, Tao ; Sethi, Ishwar K.
Author_Institution
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
Volume
29
Issue
4
fYear
1993
fDate
10/1/1993 12:00:00 AM
Firstpage
1252
Lastpage
1259
Abstract
A data fusion model consisting of several levels of parallel decision fusions is considered. Global optimization of such a model is discussed to obtain the fusion rules for overall optimal performance. The reliability analysis of the proposed model is carried out to establish its superiority over the existing parallel and serial fusion models
Keywords
decision theory; optimisation; reliability; sensor fusion; signal detection; signal processing; data fusion model; distributed sensors; fusion rules; global optimisation; multiple level decision fusion; optimal performance; parallel decision fusions; parallel fusion models; reliability analysis; serial fusion models; Bayesian methods; Costs; Decision making; Neural networks; Object detection; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Telecommunication network reliability; Testing;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.259529
Filename
259529
Link To Document