Research on Infrared Decoy Throwing Strategy Based on Hierarchical Clustering Algorithm

Abstract

Infrared decoy is often used in infrared countermeasure because of its high cost performance and good effect. Research on its throwing strategy can provide reference for the use of decoy, so as to achieve the expected interference effect. Taking the infrared decoy throwing strategy as the research object, three countermea-sure situations are set. The experimental data are obtained through the simulation system, and then the hierarchical clustering algorithm is used for cluster analysis. The clustering results show that in the set confrontation situation, the number of decoys in each group and the time of decoy throwing have a great influence on the interference effect. When the entry angle is 10° and the target has no maneuver, the way of early decoy throwing time and more decoy groups is selected. When the entry angle is 140°, the method of late throwing time and less decoy per group is selected. If the target has a turning maneuver, the method of late throwing time and more simultaneous decoy is selected. Thus, better interference effect can be obtained.

Keywords

• |infrared countermeasure|infrared decoy|throwing strategy|hierarchical clustering algorithm|pedigree clustering diagram