曲线模型的半自适应交互多模型跟踪方法

Half adaptive interactive multiple-model tracking algorithm of curvilinear model

中文关键词  自适应IMM算法  曲线模型  转弯模型  目标跟踪  模型集

英文关键词  self-adaptive IMM algorithm  curvilinear model  turning rate model  target tracking  model set

中文摘要

      在机动目标跟踪的交互多模型(IMM)算法设计中,选择覆盖范围大的模型集和简化计算复杂度是一对矛盾且重要的问题.本文首先对曲线交互多模型算法进行了研究,建立了一种角速度估计模型,在此基础上给出了一种构造自适应曲线模型集方法.用该方法构造的曲线模型集只与切向加速度相关,法向加速度可自适应调整,这一方面简化了计算复杂度,另一方面扩大了算法的适用范围.进一步的仿真试验表明了该算法的有效性.

英文摘要

      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.