Half adaptive interactive multiple-model tracking algorithm of curvilinear model
曲线模型的半自适应交互多模型跟踪方法

To select the model set with a big covering scope and to simplify computation complexity are contradictory but important in interactive multiple-model (IMM) algorithm design for maneuvering target tracking.This paper first makes a study of curvilinear IMM algorithm and constructs an angular velocity estimation model.Then on this basis,the author presents a method for constructing self-adaptive curvilinear model set.The curvilinear model set constructed by this method is only related to tangential acceleration and normal acceleration can be self-adaptive adjusted.In doing so,computation burden is reduced and the algorithm's application range is extended.The simulation further proves the validity of this algorithm.