The invention discloses an unmanned aerial vehicle position optimization method and
system, a terminal and a storage medium, and relates to the technical field of unmanned aerial vehicles, and the method comprises the steps: obtaining the number of unmanned aerial vehicles corresponding to an unmanned aerial vehicle cluster, an activity space range, a minimum vehicle spacing, a synthetic beam
main lobe target direction, and a working carrier frequency of airborne equipment of the unmanned aerial vehicles in the unmanned aerial vehicle cluster; an initial interval is determined according to the working carrier frequency, a set of
virtual position points are determined according to the initial interval and a one-dimensional
linear range defined by the activity space range, and the number of the
virtual position points is larger than the number of the unmanned aerial vehicles; and optimizing the positions of the unmanned aerial vehicles in the unmanned aerial vehicle cluster through an iterative
fast Fourier transform algorithm according to the number of the unmanned aerial vehicles, the
minimum distance between the unmanned aerial vehicles, the target direction of the synthetic beam
main lobe and the
virtual position point, and obtaining a group of target position points corresponding to the unmanned aerial vehicle cluster until a preset iteration termination condition is met. In this way, a large number of
random search processes are not involved, and the efficiency of unmanned aerial vehicle position optimization is improved.