In order to solve the complicated problem of decision-making in modern air combat a decision-making model based on receding horizon control was established considering a scenario of air combat involving two opposed fighters.Adopting the thought of Artificial Potential Field (APF) the air combat APF was built up and the establishment of artificial potential function and weight function was studied.A decision-making method for air combat maneuvering based on APF and Particle Swarm Optimization (PSO) was proposed.Simulation results show that this algorithm can avoid the trap of local minimum of APF improve the global optimization ability of PSO and can also prevent early maturity.