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基于随机模型近似的再入目标自适应跟踪算法

周政 刘进忙 郭相科

周政, 刘进忙, 郭相科等 . 基于随机模型近似的再入目标自适应跟踪算法[J]. 北京航空航天大学学报, 2014, 40(5): 651-657. doi: 10.13700/j.bh.1001-5965.2013.0359
引用本文: 周政, 刘进忙, 郭相科等 . 基于随机模型近似的再入目标自适应跟踪算法[J]. 北京航空航天大学学报, 2014, 40(5): 651-657. doi: 10.13700/j.bh.1001-5965.2013.0359
Zhou Zheng, Liu Jinmang, Guo Xiangkeet al. Adaptive tracking algorithm for reentry vehicle based on stochastic model approximation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(5): 651-657. doi: 10.13700/j.bh.1001-5965.2013.0359(in Chinese)
Citation: Zhou Zheng, Liu Jinmang, Guo Xiangkeet al. Adaptive tracking algorithm for reentry vehicle based on stochastic model approximation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(5): 651-657. doi: 10.13700/j.bh.1001-5965.2013.0359(in Chinese)

基于随机模型近似的再入目标自适应跟踪算法

doi: 10.13700/j.bh.1001-5965.2013.0359
基金项目: 

国家自然科学青年基金资助项目(61102109);陕西省自然科学基金资助项目(2010JM8013)

详细信息
    作者简介:

    周政(1985- ),男,河南南阳人,博士生,xmhs_01@163.com.

  • 中图分类号: TN953

Adaptive tracking algorithm for reentry vehicle based on stochastic model approximation

  • 摘要: 针对再入目标跟踪问题,基于加速度动力学模型和随机模型近似思想,提出了分段匀Jerk自适应模型及跟踪算法.该算法引入Jerk动力学模型和Jerk分段均匀假设,给出了机动加速度的递推模型;根据随机模型近似思想提出了新的过程噪声定义方法并给出了分段匀Jerk模型和过程噪声的自适应方法;结合状态扩展方法和分离差分滤波算法实现了再入目标的实时自适应跟踪.仿真实验表明,相比基于分段匀加速模型的跟踪算法,该算法在保证了再入目标稳态跟踪精度的同时,对目标突变状态具有较强的跟踪能力.

     

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出版历程
  • 收稿日期:  2013-06-24
  • 网络出版日期:  2014-05-20

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