| Since the mid-twentieth century,Maneuvering target tracking technology begins to develop rapidly.During this period,the maneuvering target tracking is a hot topic both military and civilian applications.With the rapid development of the modern military weapons and the modern aerospace technology,the motion state and maneuvering of the various missiles and aircrafts become more and more complex.Tracking these targets also become increasingly difficult.The original maneuvering target tracking technology has been unable to meet the needs of tracking the actual movement of the target.In the case on the combination of latest developments at home and abroad,some typical mathematical models and filtering algorithms in the maneuvering target tracking areas are summarized into this thesis.And adaptive algorithm for maneuvering target tracking model has been deeply studied in this thesis.In this thesis,the development history of basic theory of the maneuvering target tracking and latest developments at home and abroad are introduced.Several common target tracking models are given,as well as their scope of application is analyzed.Some important filtering algorithms are researched and implemented,they are mainly Kalman Filtering,EKF,UKF.On this basis,the relevant issues are deeply studied,and the following results have been achieved: the defects of “Current” statistical model are analyzed in detail,and an improved adaptive filtering algorithm is proposed based on the defects.The simulation results show that this algorithm has a good tracking ability on the strong maneuvering target and the weak maneuvering target.The influence parameters of performance and properties of interacting multiple model algorithm are analyzed.An adaptive adjustment algorithm of parameters is proposed.The algorithm can dynamically adjust the process noise and markov transition probablity matrix.The simulation results show that interacting multiple model adaptive filtering algorithm has a good tracking performance. |
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