一种基于高斯模型的自适应地物杂波滤波算法
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气象行业专项基金资助项目(GYHY200906034);国家重点基础研究发展计划资助项目(973计划)

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An adaptive ground clutter filter algorithm based on Gaussian model
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    摘要:

    在天气雷达信号处理中地物杂波滤除非常重要,地物杂波会造成有强烈回波的假象,对预报造成干扰。提出了一种基于高斯模型的自适应频域地物杂波滤波算法,并以天津站实际的雷达回波信号为例,对2种滤波器的效果进行了分析和比较。仿真结果表明,频域滤波算法能有效消除地物杂波和超折射,最大限度地保留了天气信号。

    Abstract:

    Ground clutter filter is very important in weather radar signal process. Ground clutter will generate strong echo that looks like weather signal, which will disturb weather forecast. The paper introduces the feature of weather signal and ground clutter,analyzes the ground clutter filter used in CINRAD/SA radar now. An adaptive frequency domain ground clutter filter algorithm is proposed based on Gaussian model. The results of two filters are compared based on real radar base data from Tianjin radar site,which show that the new algorithm can effectively remove normal ground clutter and anomalous propagation, and restore weather signal from clutter as much as possible.

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孙召平,张持岸,张建云.一种基于高斯模型的自适应地物杂波滤波算法[J].太赫兹科学与电子信息学报,2013,11(2):250~253

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  • 收稿日期:2012-05-10
  • 最后修改日期:2012-06-14
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