Research On Near Space Hypersonic Vehicle Tracking Algorithm

Due to its unique space and environment advantages,the adjacent space has attracted the attention of the world's major powers,and adjacent space vehicles have also emerged.Near-space vehicles have the characteristics of fast flight speed and strong maneuverability,especially the leaping maneuvering methods adopted during the cruise phase,making it very difficult for radars to track such targets.Therefore,tracking research on such goals has become a hot topic and has important significance.For the jump trajectory tracking of near spacecraft,this paper designs a good tracking algorithm based on three aspects: tracking model,algorithm framework and variable sampling rate.First of all,on the issue of the lack of actual flight data near the spacecraft,this paper mathematically models the movement of the aircraft and controls the flight of the aircraft to obtain jump-track data,providing simulation data for the simulation analysis of the tracking algorithm.Afterwards,aiming at the non-ballistic leaping movement of the aircraft during the cruise phase,this paper constructs a target tracking model from three aspects of the data processing coordinate system,the state equation and the measurement equation,and carries out a verification based on the theoretical derivation of the Sine model's maneuver frequency sensitivity.Then,considering the mobility variability of the aircraft and the limitations of single model tracking,this paper uses the interactive multi-model algorithm to interact three Sine models of different maneuvering frequencies,and analyzes the deficiencies in the modalities of the traditional IMM algorithm.In the above,the new model fusion criteria are used to adjust the updating of model probabilities.Simulation experiments show that the improved algorithm improves the tracking effect.Finally,in order to further improve the accuracy of target tracking,the concept of adaptive variable sampling is introduced in the algorithm.Through the secondary filtering of the velocity estimation,an adaptive variable sampling algorithm based on speed smoothing is formed,and sampling is adopted in the form of binning to avoid sampling.The rate changes too frequently.Simulation analysis shows the effectiveness of the algorithm.The final design of the tracking algorithm in this paper is as follows: the earth rectangular coordinate system is used as the state space,the Sine model is used to establish the state equation,the observation equation is established with unbiased transformation,and the improved IMM with three different maneuver frequencies interacts with Sine as the algorithm framework.Man filtering,supplemented by adaptive variable sampling.The tracking algorithm verifies its good tracking performance through simulation.