Rain Clutter Filtering from Radar Data with Slope Based Filter
Rain Clutter Filtering from Radar Data with Slope Based Filter
复制标题
使用基于斜率的滤波器从雷达数据中过滤雨杂波
DOI：
10.1109/eurad.2006.280264
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
A. Kaarna
中科院分区：
文献类型：
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作者：
I. Ellonen;A. Kaarna
体积杂波的一种类型是由雨滴引起的雨杂波。移动天气系统将对雨滴接近雷达系统的速率产生非零多普勒响应。雷达收集的完整数据包含目标和杂波的回波。雷达系统中的信号处理模块使用滤波操作来提取目标信息，同时抑制杂波。通常，滤波器是使用傅立叶滤波器组基于多普勒频率设计的。在本文中，我们研究了基于斜率的滤波算法，并介绍了使用该滤波器获得的一些结果。我们的实验表明了两个有趣的结果。首先，基于斜率的滤波算法至少与傅里叶滤波器组一样过滤雨杂波。其次，在生成高斯白噪声的情况下，基于斜率的滤波器的性能优于傅立叶滤波器组。实验在MATLAB环境下进行，数据为芬兰空军中程空中监视雷达（低PRF）的真实雷达雨杂波数据。五十种不同的雨雪情况已被记录到数据中
One type of volume clutters is rain clutter that is caused by rain droplets. Moving weather systems will have a nonzero Doppler response the rate at which the rain droplets approach to the radar system. The complete data radar collects contain the returns of both the target and the clutter. The signal processing block in a radar system uses filtering operations to extract the target information while suppressing the clutter. Typically the filters are designed based on Doppler frequency using a Fourier filter bank. In this paper, we study the slope based filtering algorithm, and present some results obtained using that filter. Our experiment is indicating two interesting results. Firstly, the slope based filtering algorithm filter rain clutter at least as well as the Fourier filter bank. Secondly, the slope based filter performed better than the Fourier filter bank in the case of the generated Gaussian white noise. The experiments were performed in MATLAB environment and the data was real radar rain clutter data from Finnish Air Force medium range air surveillance radar (low PRF). Fifty different rain and snow situations have been recorded into data