Abstract:

The judgement of drone swarm attack intent involves many fuzzy and uncertain factors,and the judgement process belongs to the uncertainty reasoning process.A judging method based on discrete dynamic Bayesian network model is proposed for the judgement of drone swarm attack intent.According to the characteristics of drone swarm use,an indicator system for the determination of drone swarm attack intent is constructed.The continuous variables in the indicator system are transformed into the discrete variables by using fuzzy logic theory,and a model for drone swarm attack intent determination method is established.To address the problem of missing the indicator data in the evaluation process,a forward information repairing algorithm is used for information prediction and repairing.The simulated results show that the proposed method has a certain degree of fault tolerance,and can effectively judge the attack intent of drone swarm target based on the information before and after repairing,providing a reference for anti-drone swarm combat command decision-making.

Key words: drone swarm, judgement of attack intent, discrete dynamic Bayesian network, predictive repair