现代防御技术2013，Vol.41Issue(4)：22-26,48,6.DOI:10.3969/j.issn.1009-086x.2013.04.005
CS模型下IMM-PF算法在机动目标跟踪中的应用
IMM-PF Algorithm Based on the CS Model in Maneuvering Target Tracking Research
摘要
Abstract
To solve the problem of maneuvering target's locating and tracking,an IMM-PF (interacting multiple model particle filtering) algorithm based on current statistical model is presented.On the basis of IMM-PF,the probability of the current statistical model is calculated.The acceleration of the target is adjusted adaptively in the current statistical model which can reflect the movement characteristics of the target.It combines the advantages of the two algorithms so as to improve the weakness of the current statistical model,which enhances its adaptive performance and extends the application range of the current statistical model.Moreover,the adaptive filtering algorithm is changed from Kalman to PF Monte Carlo simulation.Results show the feasibility and superiority of the modified algorithm.关键词
CS模型/加速度参数/交互式多模型/粒子滤波/机动目标跟踪Key words
current statistical(CS) model / acceleration parameter / interacting multiple model / particle filtering/ maneuvering target tracking分类
信息技术与安全科学引用本文复制引用
霍长庚,高宪军..CS模型下IMM-PF算法在机动目标跟踪中的应用[J].现代防御技术,2013,41(4):22-26,48,6.
