Unmanned aerial vehicle deception route planning method based on ant colony algorithm

The invention discloses an unmanned aerial vehicle deception route planning method based on the ant colony algorithm, and relates to an unmanned aerial vehicle deception route planning method based onthe ant colony algorithm. The object of the invention is to solve the problem that the existing black-flying unmanned aerial vehicle deception route planning only introduces the deception acceleration and speed on the basis of the existing real route, which results in poor adaptability to terrain and control precision. The process includes: 1, classifying a flight area of the unmanned aerial vehicle through a cellular grid, and setting an initial zone, a danger zone, a control zone and a crash zone; 2, updating the pheromone concentration in the ant colony algorithm; 3, obtaining the transition probability in the ant colony algorithm; and 4, calculating the transition probability between the current city and the next city when the ant starts from the initial zone, selecting the city withthe highest transfer proba