DocumentCode
437584
Title
Reconfigurable Bayesian networks for adaptive situation assessment in battlespace
Author
Mirmoeini, Farnoush ; Krishnamurthy, Vikram
Author_Institution
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
fYear
2005
fDate
19-22 March 2005
Firstpage
810
Lastpage
815
Abstract
Situation assessment is the task of integrating low-level sensor data to fuse lower level information and produce hypotheses in a military situation. In this paper we propose an algorithm for adaptive situation assessment using reconfigurable Bayesian networks. The formulation and algorithm presented are suitable for dynamic battlespace situation changes. We provide numerical examples that show the effectiveness of our approach in a battlefield scenario.
Keywords
belief networks; military computing; adaptive situation assessment; battlefield scenario; dynamic battlespace situation changes; low-level sensor data; lower level information; military situation; reconfigurable Bayesian networks; Adaptive systems; Bayesian methods; Fuses; Inference algorithms; Information systems; Intelligent networks; Level control; Maximum likelihood estimation; Military computing; Sensor phenomena and characterization;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN
0-7803-8812-7
Type
conf
DOI
10.1109/ICNSC.2005.1461294
Filename
1461294
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