ECM aircraft radiates interfering signals toward an enemy’s radar, blocking the receiver with highly concentrated energy signals while greatly reducing the enemy’s information superiority. Early warning aircraft is a primary source of information on enemy air and surface forces and installations. Bombers provide an intercontinental capability to strike surface targets on short notice. Fighter aircraft, operating from airport or aircraft carrier, attacks enemy fighters while providing security to exploit the air for intelligence, early warning and control, bombing, and other functions. These forces can quickly gain and sustain air superiority over regional aggressors, permitting rapid air attacks on air and surface targets. IntroductionĪir strike forces composed of fighter, bomber, early warning aircraft, electronic countermeasure (ECM) aircraft, and unmanned aerial vehicle provide a versatile striking force capable of rapid and distant employment. The proposed intelligent mission planning model shows better results as compared to rule-based decision making with randomized parameters, and it performs as good as experts in the test set of the specific combat scenario. The proposed intelligent mission planning model is based on rule-based decision and uses a fully connected recurrent neural network to calculate some of the decision parameters. In a specific combat scenario of air strike operations against islands, an intelligent model is proposed to improve the performance and flexibility of mission planning. If some instruction parameters can be calculated by an intelligent agent, better strategies can be found more quickly. Mission planning of air strike operations is hard because it has to give instructions to a large number of units during a relatively long period of time in an uncertain environment.
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