A Clutter Suppression Method for Dual-Polarization Weather Radar Exploiting Spectral Polarimetric Parameters
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摘要: 针对双极化气象雷达中非气象回波的滤除问题，该文提出一种基于谱极化参数(SPP)的杂波滤波方法。不同于传统时域或频域的杂波抑制方法，该方法根据气象和杂波在距离-多普勒(RD)域内的特征不同进行前者的保留和后者的抑制。首先利用频谱极化特征构造SPP，结合形态学方法，在RD域内生成一个2元掩模。基于面向对象的思想，将2元掩模标记为气象对象掩模和杂波对象掩模。然后引入谱宽作为额外的参数，筛选出所有气象对象掩模，将其进行叠加可以获取完整的气象信息，最终生成SPP杂波滤波器。实测X波段和C波段气象雷达数据验证了所提方法的有效性。与移动双重谱线性退极化比(MDsLDR)滤波器和基于时域的门限因子杂波抑制方法相比，SPP滤波器在保留弱气象信息方面效果更好。此外，该方法计算复杂度低，可以实时应用于同时发射同时接收(STSR)和交替发射同时接收(ATSR)双极化气象雷达。Abstract: For removing non-weather echoes from the data of dual-polarization weather radar, a clutter filtering method based on Spectral Polarimetric Parameters (SPP) is presented in this paper. Unlike the traditional time- or frequency-domain clutter suppression methods, this method retains the weather echoes and mitigates clutter according to their differences in the Range Doppler (RD) domain. Firstly, the SPPs are defined by exploiting the polarimetric features in the RD domain. With the help of the morphological method, the binary masks are generated. Then, with the object-oriented idea, the binary masks are labeled as weather-object masks or clutter-object ones. The spectral width is introduced as an additional parameter to select weather-object masks, all of which are added up to form the clutter suppression filter and hence the complete weather information can be remained. The X- and C-band polarized weather radar data are used to demonstrate the effectiveness of the proposed method. As compared with Moving Double spectral Linear Depolarization Ratio(MDsLDR) filter and the time-domain clutter suppression method using threshold factor, the proposed SPP clutter suppression filter is more effective in retaining relatively weak weather information. Moreover, the SPP filter has low computational complexity and can be applied to real time for dual-polarization weather radars working in either Simultaneous Transmission and Simultaneous Reception (STSR) mode or Alternate Transmission and Simultaneous Reception(ATSR) mode.
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