基于伪线性和输入估计的无源自适应跟踪算法
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“泰山学者”建设工程专项经费资助项目;新世纪优秀人才支持计划资助项目(NCET-05-0912)

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An adaptive tracking algorithm based on pseudo-linear and input estimation in passive location system
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    摘要:

    基于伪线性滤波算法和输入估计算法提出了一种对空中机动目标进行三维测向无源自适应跟踪的新算法。该算法把目标机动加速度看成是未知的输入向量附加到状态方程中,再利用状态向量扩维情况下的伪线性滤波算法对目标进行三维无源跟踪,跟踪过程中在对原来目标状态向量进行估计的同时估计目标加速度。仿真结果表明:该算法不需要对目标进行机动检测,即能够适应目标机动和非机动2种工作模式,实现对空中机动目标的自适应无源跟踪。

    Abstract:

    A simple yet more effective filtering algorithm for 3-D passive location systems is developed by combination of pseudo-linear filter with modified input estimation approach. In this method, the acceleration is treated as an additive input term in the corresponding state equation, and higher dimension pseudo-linear filter is used to solve the passive tracking problem of air target. The original state and acceleration vectors are estimated simultaneously with the higher dimension pseudo-linear filter. Simulation results show that the proposed tracking algorithm can operate in both the non-maneuvering and the maneuvering modes, and the maneuver detection procedure is unnecessary; passive sensor can track the maneuvering air target by using the proposed method.

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修建娟,孔 博,修建华.基于伪线性和输入估计的无源自适应跟踪算法[J].太赫兹科学与电子信息学报,2011,9(2):152~157

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  • 收稿日期:2010-09-07
  • 最后修改日期:2010-11-08
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