Research On Passive Location Technology Of Single Satellite Station

Passive location of single station is the technology that the detection system determine the target state through a single observer measures the information of radiation sources.Therefore,its system is much simpler and more flexible,and also can work without multiple stations,data transmission and communication between different stations,when compared with multiple stations passive location.All makes the passive location technology becoming a research focus.The essence of single station passive location technology is the effective combination of the positioning method and the filtering algorithm.Therefore,this paper mainly starts from the two aspects and has the following research work.Firstly,the spatial principle of single station passive location is introduced.For the three kinds of common motion modes of stationary,constant and maneuvering targets,the appropriate coordinate system and state vector are selected to establish the tracking model.At the same time,the target tracking performance of the system model is analyzed,which lays the model foundation for the simulation experiment of the following chapters.Secondly,seven kinds of traditional positioning methods and three new positioning methods are introduced respectively.The most classical orientation method is selected from the traditional positioning method,and the corresponding mathematical model is studied and established.The observability analysis is carried out,and the advantages and disadvantages of the positioning method are summarized.Then,the method of positioning the joint phase difference,the change rate of the phase difference and the rate of change of the frequency is studied emphatically.On the basis of selecting the three-dimensional Cartesian coordinate system,the derivation of the system equation is completed.Finally,the observability analysis is carried out briefly.Thirdly,the linear kalman filtering technique is studied,which mainly includes classical kalman filter and IMMKF.Combining with the set scenario,the target location tracking model is established and simulated in MATLAB.Finally,the algorithm is proved to be simple and effective.However,single-station passive target tracking is actually a typical nonlinear filtering problem.Therefore,the EKF and UKF algorithms in the nonlinear Kalman filter are studied emphatically.A single station based azimuth target tracking model based on EKF and a single station ranging target location tracking model based on UKF are designed respectively.The feasibility and validity of EKF and UKF in single station passive location tracking are proved by simulation.Finally,the simulation results of EKF and UKF are compared and analyzed.The results show that the accuracy of UKF is higher than that of EKF.Fourthly,the application of particle filter in single station passive location tracking is studied emphatically.Two algorithms of SIS and SIR are introduced,and the realization process and advantages and disadvantages of the algorithm are summarized.A nonlinear Gaussian tracking model and a nonlinear non-Gaussian tracking model are established respectively.The simulation is verified for two different models.The simulation results show that the particle filter technology can not only deal with the Gaussian noise problem,but also deal with the non-Gaussian noise problem well.Compared with the EKF and UKF algorithms,it has obvious advantages at this point.