Maneuvering Target Tracking Algorithm

The maneuvering target tracking is a research exercise to the tracking target can't accurate description of target sport estimate the problem. The subject has the extensive application in for use by the military and civilian realms. Therefore, this dissertation follows the problem to the maneuvering target tracking in studying the foundation that the people of the past research the result, carried on to research the problem more thorough and more systemic.Firstly, this dissertation summarizes the establishment of the target tracking model, and gives some of familiar target maneuvering models and introduces the method of sitting the mark conversion for measurement model. Sequentially, we research some important filtering methods in the maneuvering target tracking areas. Then, the based of studied and analytical the maneuver detection and identification algorithm, and the interactive multiple model algorithm, found and discussed the problem that these algorithms exist. On these foundations carried on the thorough meticulous research to the related problem. The main contributions made by the author of this dissertation are summarized as the following:(1) In study maneuver detection and identification algorithm process, detailed to analyze the blemish that it exist according to the calculate way of the current statisticcal model algorithm. And put forward the new calculate algorithm in improving the foundation of its limitation. That new algorithm not only can give the good examination in maneuvering, but also examine maneuver with divided into strong and weak two kinds of maneuver. Distinguish different maneuver of the improvement algorithm follows different way. Finally, pass to the emulation express that the new algorithm to have finally on the trail of ability completely.(2) Analyzed these influences factor of the interacting multiple model algorithm. Then put forward to aim at some improvement interactive multiple model algorithm of these influences factor. The interacting multiple model algorithm of these improvements really carried on to emulate. Finally, follow the emulation result to get the change that model gather affects to the on the trail of ability of interacting multiple model algorithm biggest.