The Hierarchical Recognition Method of Autonomous Air Tactical Operation of Unmanned Combat Aircraft

Abstract

In order to further explore the autonomous air combat tactical movement of unmanned combat aircraft, a layered tactical action recognition scheme based on fuzzy logic reasoning and time matching principle is proposed. This scheme connects the basic action identification layer and the composite action identification layer with the basic action sequence. Firstly, the basic motion is identified by fuzzy logic inference method, and the results of the recognition are output in the form of basic action sequences. Then, the combined action identification layer is entered, and the combination action pattern and the combined action matching library are matched to determine the type of combined action. The simulation results show that the layered tactical action recognition scheme can effectively identify the autonomous air combat tactical action of unmanned combat aircraft, and have good extensibility.