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Object-Orientated Filter Design in Spectral Domain for Polarimetric Weather Radar

机译:极化气象雷达光谱域的面向对象滤波器设计

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Aiming at removing stationary and moving clutter while retaining precipitation for dual-polarization weather radar, a new clutter suppression method, named the object-orientated spectral polarimetric (OBSpol) filter, is put forward in this paper. Based on the spectral polarimetric feature and the range-Doppler continuity of precipitation, the OBSpol filter generates a filtering mask implemented on the raw range-Doppler spectrogram to mitigate the clutter and noise. The procedures are as follows. After the spectral polarimetric filtering and the mathematical morphology method, one binary mask where "1" indicates the precipitation is obtained. Then, the contiguous bins of the same value "1" in the range-Doppler domain are grouped in areas termed as objects. Whether the produced objects are precipitation or not will be further judged based on appropriate weather radar observable. Thus, combining all the filtered separate objects, a filtering mask can be obtained. In this paper, data collected by the polarimetric Doppler IRCTR drizzle radar are used to demonstrate and assess the performance of the proposed technique in the case of ground clutter, narrowband moving clutter, and noise. Two precipitation cases are examined: 1) moderate precipitation with large scale and 2) light precipitation with severe clutter contamination. In the range-Doppler spectrogram, both stationary and narrowband moving clutters are mitigated, while maintaining nonoverlapping precipitation signal. This helps to solve the problem when clutter and precipitation overlap in the time domain. In addition, the OBSpol filter is proven to be effective with different Doppler velocity resolutions. This technique can be applied in real-time due to its low computation complexity. Moreover, the spectral polarimetric filtering can be designed using the measurements of dual-polarization radar systems which do not have cross-polar measurements. Hence, the proposed clutter mitigation technique can be implemented for operational dual-polarization weather radar.
机译:针对双极化天气雷达在保持降水的同时又消除了动静杂波的问题,提出了一种新的杂波抑制方法,即面向对象的光谱极化(OBSpol)滤波器。基于光谱极化特征和降水的距离多普勒连续性,OBSpol滤波器会生成在原始距离多普勒频谱图上实现的滤波掩码,以减轻杂波和噪声。步骤如下。经过光谱极化滤波和数学形态学方法后,获得了一个二进制掩模,其中“ 1”表示降水。然后,在距离多普勒域中具有相同值“ 1 ”的连续bin被分组在称为对象的区域中。将根据可观察到的适当天气雷达进一步判断所产生的物体是否为降水。因此,结合所有过滤的分离对象,可以获得过滤掩模。在本文中,极化多普勒IRCTR毛毛雨雷达收集的数据用于演示和评估所提出技术在地面杂波,窄带移动杂波和噪声情况下的性能。检查了两种降水情况:1)中等规模的大尺度降水; 2)轻微的杂波污染严重。在距离多普勒频谱图中,固定和窄带移动杂波都得到了缓解,同时保持了不重叠的降水信号。这有助于解决时域杂波和降水重叠的问题。此外,已证明OBSpol滤波器在不同的多普勒速度分辨率下是有效的。由于该技术的计算复杂度低,因此可以实时应用。而且,可以使用没有交叉极化测量的双极化雷达系统的测量来设计频谱极化滤波。因此,可以为操作双极化天气雷达实现所提出的杂波缓解技术。

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