Passive Location And Tracking Method For Airborne Moving Emitter By Single Satellite

With the increasing number and variety of non-cooperative radiation sources in the air,how to realize the real-time surveillance and tracking of air moving emitters is becoming an important problem which must be solved quickly.A cost-effective way is to detect and monitor the targets using an electronic reconnaissance system based on a single satellite.For the problem of passive location for air moving emitters just by a single satellite,this paper studies the single satellite passive locating and tracking algorithm which combining angle with Doppler rate-of-changing.The main research contents of this dissertation are as follows:(1)A new Doppler rate-of-changing measurement algorithm based on the coherent components extraction is studied.Due to the parameter estimation problem can be eventually converted to the quadratic term coefficient estimation problem of the phase polynomial,so the Doppler rate-of-changing measurement algorithm based on the coherent components extraction is proposed here,whose main idea is: firstly extract the frequency of the coherent component,then reconstruct the signal phase by the coherent components,and finally estimate the Doppler rate-of-changing from the phase.Simulation results show that the Doppler rate-of-changing measurement algorithm has certain adaptability,can effectively extract the Doppler rate-of-changing from the signal types such as linear frequency modulation signal pulses,frequency hopping signal pulses and the linear frequency modulation signal pulses with unequal pulse interval.(2)The passive tracking algorithm combing two-dimensional angle and Doppler rate-of-changing using single satellite is studied.The Cubature Kalman filter tracking algorithm and batch tracking algorithm under the proposed locating system are put forward respectively.The state model and observation model are established firstly.Then the two-dimensional instantaneous direction finding passive location method is introduced,which can be used to initialize the above two tracking algorithms.According to the proposed filter tracking algorithm,which combines the advantage of angle on the location estimation and the advantage of Doppler rate-of-changing on the speed estimation,can give the target position and speed estimation in a high precision timely.For the proposed batch tracking algorithm,the tracking problem can be converted to the parameter estimation problem.At each batch processing time,all of the current existing observations are used to estimate the unknown parameters,which effectively improves the position and speed estimation accuracy.Simulation results show that the two algorithms can realize the moving target's tracking with a high precision by single satellite.(3)The single satellite passive location algorithm and tracking algorithm which combing the one-dimensional angle and Doppler rate-of-changing are studied.They can achieve effective positioning and tracking just by one-dimensional interferometer and a single channel,which not only reduce costs but also save resources.The passive location model and tracking model by single satellite are given firstly.As for the locating algorithm,an orthogonal cosine angle parameterization based multi-hypothesis nonlinear least square(OCAPMHNLS)algorithm is proposed,which innovatively use the one-dimensional cosine angle and a series of hypothetical angles that are orthogonal to the measuring cosine angle to divide the area the goal may be located.Then it can achieve passive location by the Gauss-Newton iteration algorithm.The simulations prove its high positioning accuracy,and can complete locating instantaneously.As for the tracking algorithm,an effective algorithm called the angel-parameterized hierarchical-splitting Gaussian sum Cubature Kalman filter(APHSGSCKF)is proposed,which contains multiple parallel CKFs to solve the initialization problem.To solve the high nonlinearity of the measurement functions,in the splitting processing,the value range of the nonlinearity is segmented hierarchically,which reduce the amou nt of computation while improving the accuracy.Simulation experiments prove that it can effectively estimate the position and velocity of moving targets.