New Object Tracking and Location Method Based on Logarithm Likelihood Estimation
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    Abstract:

    In order to avoid the iterative computations in passive location, based on the nonlinear observation equation of multi station passive location, a closed calculation is presented by converting the nonlinear measurement equations into the pseudo-linear equalities, utilizing Logarithm Likelihood Estimation method. First, a mathematical model for the pseudo-linearization of two dimensional nonlinear angle measurement equations is formulated and then the closed form solution for the target location algorithm is derived. Subsequently, we realize precisely tracking and location of objects based on current statistical model. Their theoretical location performances are proved to be able to attain the corresponding Cramér-Rao bound (CRB) and the simulation experiments are conducted to verify the effectiveness of the theoretical analysis in this paper.

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刘哲,卫军胡,黄文准,黄世奇.基于对数似然估计的目标定位跟踪新方法.计算机系统应用,2017,26(4):141-147

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  • Received:July 02,2016
  • Revised:October 08,2016
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  • Online: April 11,2017
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