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 probability as the next destination city till the
crash zone is reached, and obtaining a deception route based on the
ant colony algorithm in the flight area of the unmanned aerial vehicle. The unmanned aerial vehicle deception
route planning method based on the
ant colony algorithm is used in the field of unmanned aerial vehicle deception
route planning.