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
fDate :
10/1/1993 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
