欢迎访问《空军工程大学学报》官方网站!

咨询热线:029-84786242 RSS EMAIL-ALERT
一种适于非线性非高斯目标跟踪的MRIMMPF算法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TN911.7

基金项目:

国家自然科学基金资助项目(60601016)


A MRIMMPF Algorithm Suitable for Nonlinear/Non-Gaussian Target Tracking
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为解决粒子滤波应用到IMM算法时计算量过大的问题,融合交互式多模型和粒子滤波,提出了一种采用多速率方法的交互式多模型粒子滤波(multirate interacting multiple model particle filter,MRIMMPF)算法。该算法采用多模型结构来跟踪任意机动的目标;使用一种3模型、one-third速率/全速率跟踪算法,一个one-third速率模型处理非机动或微弱机动,2个全速率模型用于机动模式,以处理非线性、非高斯问题。仿真结果表明,MRIMMPF算法在性能上并不低于交互多模型粒子滤波(IMMPF)算法,但是计算量明显减小。

    Abstract:

    By combining the interacting multiple model with the particle filter, a new interacting multiple model particle filter (multi-rate interacting multiple model particle filter, i.e. MRIMMPF) algorithm is proposed, in which a multi-rate technique is adopted. In the algorithm the multiple models are used for tracking arbitrary maneuvering target. To deal with the nonlinear and non-Gaussian problems, a particle filter is adopted in each model. But when the particle filter is applied in the IMM algorithm, an expensive computation appears in the whole process. In order to solve this kind of disadvantage, the multi-rate technique is adopted, by doing so, the computation is obviously reduced. The simulation results show that the MRIMMPF algorithm works as well as the IMMPF algorithm in performance.

    参考文献
    相似文献
    引证文献
引用本文

梁波,陈晓羽,任宝祥.一种适于非线性非高斯目标跟踪的MRIMMPF算法[J].空军工程大学学报,2009,(6):36-40

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2015-11-24
  • 出版日期: