Research On Passive Location Method And Tracking Algorithm For Airborne Single Station

With the development of existing single-station passive location technology and the improvement of filtering algorithm,combined with the mobility of the aircraft,Research content aiming at the problem of low positioning accuracy,slow speed and low range in the traditional method of collecting radio beacon,focusing on positioning principles,error analysis,parameter measurement and filtering algorithms from a number of research work:Firstly,Aiming at the passive positioning of airborne single station,in this paper,from the angle change rate positioning method(ARC),phase difference rate of change positioning method(PRC),Doppler rate of change positioning method(DRC),the positioning principle,the single target measurement error analysis and the observability of the three methods are simulated and analyzed,and the advantages and disadvantages of each method are given.Secondly,using the single station passive location method(PDRC method),the target radiation source is located by using the three parameters of phase difference,phase difference change rate and Doppler frequency.This method reduces the complexity of measuring the angular rate of change.On the basis of reducing the difficulty of engineering,PDRC has better positioning accuracy and smaller positioning error.In order to improve the measurement accuracy of the positioning parameters,the measurement method of the two parameters of the phase difference change rate and the Doppler rate of change is also studied.Finally,based on the analysis of the basic principles of Extended Kalman Filter(EKF),Unscented Kalman Filter(UKF)and Schmidt Orthogonal Transform Unscented Kalman Filter(SOUKF),a new Square root spherical Unscented Kalman Filter(Sqrt-UKFST)is presented.The simulation results showthat the algorithm has better accuracy and convergence rate than other algorithms.