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    单无源传感器平台非线性滤波技术

    Nonlinear Filter for Single Passive Sensor

    • 摘要: 研究了单无源传感器平台探测中的非线性滤波技术, 对比分析了典型非线性滤波技术的特点及弊端, 详细讨论了高斯 – 厄密特滤波方法. 定性分析概率密度函数高斯近似的具体思想和不同维度下高斯 – 厄密特积分规则. 高斯 – 厄密特滤波是一种有效可行的单无源传感器平台目标跟踪方法.

       

      Abstract: Nonlinear filter for single passive sensor target tracking is studied in this paper, and the superiority and defect are compared and analysed. Gauss-Hermite filter is discussed detailedly. The particular method on Gaussian approximation of probability density function and Gauss-Hermite integral rule of different dimensionality are analysed qualitatively. Gauss-Hermite filter is an effective method for single passive sensor target tracking.

       

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