The Track Planning Of A Target-driven Electronic Reconnaissance Aircraft

As an important part of the mission planning system,the track planning technology is a necessary prerequisite for the intelligent flight control of electronic reconnaissance aircraft.In the case of target-driven reconnaissance of specific enemy targets,due to the complex flight environment and high-difficulty flight tasks,the optimal or better flight path should be planned in advance to improve the flight efficiency of the reconnaissance aircraft and provide technical support and guarantee for the completion of the mission.In this paper,it discussed the key technology of static track planning for electronic reconnaissance aircraft,completed the modeling of electronic reconnaissance aircraft track planning,and studied the relevant planning algorithm.The main work of the paper is as follows:1.Aiming at the constraint conditions that the electronic reconnaissance aircraft flight track planning problem needs to meet under the target driven condition,the maneuver performance constraint model,threat constraint model and airborne reconnaissance model are established.The maneuverability constraint model of reconnaissance aircraft includes maximum range constraint,minimum track length constraint and minimum turning radius constraint.Threat constraint models mainly include radar and atmospheric threat models.The airborne reconnaissance model is used by the reconnaissance system of the airborne radar to complete the reconnaissance and observation of the target mission.2.Aiming at the application of basic Ant Colony Optimization to the flight track planning problem,due to its single factor of consideration,it is not applicable to the specific task background.Based on the target-driven mission background,this paper improves the Ant Colony Optimization algorithm,introduces guidance information into the state transition strategy,and sets the guidance information to be related to the airborne reconnaissance model.The introduced guidance information can effectively reduce the blindness of path selection and accelerate the track convergence to the direction of the target node to be detected.At the same time,the heuristic information is improved to be related to the threat constraint model.The improved heuristic information can protect the reconnaissance aircraft from threats as much as possible and reduce the threat cost.The problem of scope of application caused by ignoring threat factor and task factor in basic Ant Colony Optimization is solved.3.In this paper,the Random Forest algorithm is specifically applied to the classification of flight track planning.The advantages of Random Forest in classification accuracy and efficiency are utilized to classify the actual flight mission space,and it shows good performance.Existing track planning technology is from an initial state to start the search,the result was a single global or local optimal solution,is not convenient to look for multiple track,using the Random Forest algorithm can effectively solve this problem,get a flight with the direction of flight area,the area is a set of optimal solutions,can be used to track is planning more research and so on,has broad application prospects.4.A simulation model is established for the electronic reconnaissance mission scenario of the unmanned reconnaissance aircraft against the ground radiation source,and a computer simulation is conducted.The simulation results show that both the Ant Colony Optimization and the Random Forest algorithm have good performance.