A belief-rule-based inference method for carrier battle group recognition

Lianmeng Jiao (1) , Quan Pan (1) , Xiaoxue Feng (1) , Feng Yang (1)

1 School of Automation

This paper proposes a method for carrier battle group recognition with over-the-horizon radar outputs. A newly developed belief-rule-based inference method is employed to deal with uncertainties in both radar outputs and domain knowledge. The recognition belief-rule base is constructed considering the con-straints among sub-targets in the carrier battle group and subsequently the infe-rence according to such hierarchical belief-rule base is implemented. Moreover, the parameters training method is designed to update the belief-rule base through accumulated historical data. The simulation results show that the belief-rule-based inference method is effective to address the uncertainties in carrier battle group recognition, and the method performs much better after parameters training.

Domaines: Automatique; Intelligence artificielle [cs.AI]; Traitement du signal et de l'image [eess.SP]

Lianmeng Jiao, Quan Pan, Xiaoxue Feng, Feng Yang. A belief-rule-based inference method for carrier battle group recognition. Lecture Notes in Electrical Engineering, pp.261-271, 2013, 978-3-642-38523-0. ⟨10.1007/978-3-642-38524-7_28⟩. ⟨hal-01081012⟩