The invention discloses a particle swarm Beidou satellite selection method based on inertia weight feedback adjustment. The method comprises steps: the azimuth angle and the elevation angle of a Beidou visible satellite are firstly calculated, a state matrix with n satellites selected is obtained, and a GDOP value is used as an objective function for satellite selection; then, a discrete particleswarm algorithm based on inertia weight feedback adjustment is used to search for a satellite combination that can minimize the objective function value, the feedback adjustment mechanism designed inthe inertia weight of the algorithm can improve the convergence speed of the algorithm, and the global optimal solution can be quickly solved. The improved discrete particle swarm algorithm is appliedto Beidou satellite selection, the quality and the efficiency of the Beidou satellite selection are effectively improved, and the application prospects are broad.