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Improving the autonomous decision-making of unmanned aerial vehicle is an important means to improve the combat capability of the vehicle in modern warfare. Through the research on the unmanned aerial vehicle's air-to-ground combat process, the paper analyzes and summarizes the relevant factors that affect the autonomous decision-making of the unmanned aerial vehicle, and express the military rules that could not be described by the algorithm and the mathematical model by using the production rules to establish the operational rule base. an autonomous decision-making method based on knowledge base is proposed. This method simulates people's cognition of the situation through dynamic bayesian network, makes decisions through production rules, and controls the decision-making process by adding the state description of the entity, so as to complete the autonomous decision-making of unmanned aerial vehicle. The simulation results show that this method is scientific and effective, and it can make the unmanned aerial vehicle make a reasonable decision independently.