Configuration optimization method of aircraft cluster collaborative navigation in different air domains
Aiming at the problem of collaborative navigation of aircraft clusters distributed in different air domains,a configuration optimization method that combines the time difference-geometric dilution of precision(TD-GDOP)and the improved collaborative particle swarm optimization(ICPSO)algorithm is proposed.Firstly,a collaborative navigation model is established based on the TDOA measurements between aircraft clusters.On this basis,TD-GDOP is defined and used as a fitness function to design the configuration optimization scheme for the aircraft clusters in different air domains.The configuration of reference aircraft clusters in different air domains is optimized using the proposed ICPSO algorithm,which enhances the collaborative positioning performance of aircrafts in GNSS-Denial areas.Simulation results show that the proposed method improves the average collaborative positioning accuracy of the three aircrafts to be assisted by 70.4% and 57.0% respectively,compared with the collaborative navigation scheme without configuration optimization and the other scheme using the traditional PSO algorithm for configuration optimization.