Reconfigurable Bayesian networks for adaptive situation assessment in battlespace

TitleReconfigurable Bayesian networks for adaptive situation assessment in battlespace
Publication TypeConference Paper
Year of Publication2005
AuthorsMirmoeini, F., and V. Krishnamurthy
Conference NameNetworking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Pagination810 - 815
Date Publishedmar.
Keywordsadaptive situation assessment, battlefield scenario, belief networks, dynamic battlespace situation changes, low-level sensor data, lower level information, military computing, military situation, reconfigurable Bayesian networks

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.


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