Technology Research, Based On The Correction Rate Of Turn Model Of High-speed Maneuvering Target Tracking

As one of the basic problems in the scientific world, numerous applicationsassociated with maneuvering target tracking can be found both in military and incivilian purposes. In the past several decades or more, researchers all over the worldhave been engaged in this area, and a lot of plentiful and substantial results have beenacquired. Along with the rapid development of the aerospace technology, all flightvehicles'speed and maneuverability get higher and higher. So the study focuses ontracking high speed and highly maneuvering targets based on the contribution of otherformer researchers is very necessary.The dissertation briefly introduces the development history at first, and details thepresent research status of the issue all around the world. Chapter two introduces thebasic filter and prediction method in tracking maneuvering targets, and also gives sometypes of typical maneuvering models with the detailed discussion of every model's statefunction and their parameters. In Chapter three, the standard Interacting Multiple Model(IMM) algorithm is given, with its refinements and developments, including theselection model set, the update design of the transition probabilities matrix andobservation de-coupling technique.In Chapter four, proceeding from the kinematical principles, the dissertation givesa new model—Corrected Turn Rate model based on the coordinated turn model. As onemodel used in the IMM algorithm, the new algorithm is used for tracking high speedand highly maneuvering targets, combining the improvements given in Chapter three.The new algorithm utilizes interacting outputs to calculate the kinematical parametersand estimates the turn rate that is used for updating the state transition matrix and modelnoise variance matrix in recursive filter. The new algorithm is model-oriented, and isrealized by making full use of the framework characteristic of the IMM algorithm.In order to evaluate the new algorithm, comparable simulations are given inChapter five. The results indicate that the new algorithm obtains a better balance amongtracking performance, computational complexity and real-time application, and hasgood practicability in tracking high speed and highly maneuvering targets.