Ground thread identification of the reconnaissance and strike integrated UAV based on improved Direct Inference algorithm

Autor:	Shaohuan Yang, Haiyang Chen, Xiaoguang Gao
Rok vydání:	2010
Předmět:	Computer science Preemption Inference Network structure ComputerApplications_COMPUTERSINOTHERSYSTEMS Thread (computing) Remotely operated underwater vehicle Fuzzy logic Algorithm Dynamic Bayesian network Network model
Zdroj:	2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).
DOI:	10.1109/icacte.2010.5578949
Popis:	Ground thread identification is the foundation of tactical decision-making to the reconnaissance and strike integrated UAV (Unmanned Aerial Vehicle). Based on the network structure of a single time slice, the traditional Direct-Inference (DI) algorithm is improved for fuzzy discrete dynamic Bayesian network model in this paper. First of all, the improved DI algorithm is derived, and then the network model based on this algorithm for the purpose of UAV ground thread identification is established as an example. The simulation results demonstrate that the algorithm can not only accurately infer the type of the ground thread by combining feature information, but also significantly shorten the cost time of the Inference.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7d555927287bb602ae27cfe5d0b36ba3 https://doi.org/10.1109/icacte.2010.5578949 Zobrazit plný text záznamu