The application discloses a large-capacity low-energy-consumption unmanned aerial vehicle (UAV)
covert communication method, and belongs to the technical field of UAV path planning and
covert communication, and comprises the following steps: S1, constructing a
system model of UAV
covert communication; S2, constructing a UAV covert communication model; S3, constructing a motion
energy consumption model of the UAV; S4, based on the
system model, the communication model and the motion
energy consumption model, finding a task target of the UAV, which is to find optimal transmitting power and a navigation track, so that the detection error probability of an eavesdropper is maximized, and an
optimization problem and a constraint condition are constructed according to the same; and S5, solving the
optimization problem by using a multi-objective deep deterministic policy gradient (MODDPG)
algorithm. Under the premise that a
communication link between a sender and a
receiver is not detected by an eavesdropper, the application realizes the Pareto optimality of a link
throughput and a motion
energy consumption of the UAV, and provides security performance, communication performance and energy-saving
performance guarantee for the UAV to carry out a task.