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Target Recognition and Behavior Prediction based on Bayesian Network

Volume 15, Number 3, March 2019, pp. 1014-1022
DOI: 10.23940/ijpe.19.03.p31.10141022

Chao Lina and Yanan Liub

aThe 44 unit of PLA 92941 Army, Huludao, China
bChina Research Institute of Radiowave Propagation, Qingdao, China
(Submitted on November 5, 2018; Revised on December 6, 2018; Accepted on January 3, 2019)


The identification of target identity attributes and its behavioral prediction are important means for providing command and decision support in modern warfare. This paper analyzes the key steps in the process of target recognition and behavior prediction and proposes a target recognition and behavior prediction model based on the Bayesian network. In the simulation example, by integrating the sensor information and combining expert knowledge, the model can effectively and accurately conduct battlefield situational awareness. Combined with the background of big data, this paper introduces the distributed processing system Hadoop, and prospects its application in target recognition and behavior prediction.


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aThe 44 unit of PLA 92941 Army, Huludao, China

bChina Research Institute of Radiowave Propagation, Qingdao, China
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