Abstract:

In order to solve the problem of the decision-making for the air-to-ground attack, the index factors of threaten degree of the target are analyzed and quantified. And a model of online support vector machine is built for threaten degree of the target. On the basis of above analysis, the attack decision is completed by sorting the threaten degree of the target. The developed attack decision-making algorithm using online support vector machine has features such as online training, small amount samples and good generalization ability. The simulation example is given to show the effectiveness of the proposed decision-making for the air-to-ground attack. The simulation results show that the online support vector machine has quick training ability and high-accuracy in the process of threaten degree of the target calculation.

Key words: online support vector machine, air-to-ground attack, attack decision-making, target threaten degree