| 引用本文: | 李 海, 罗 原, 冯兴寰, 冯 青. 基于P-K滤波的X波段雷达雨衰补偿研究[J]. 雷达科学与技术, 2020, 18(5): 487-493.[点击复制] |
| LI Hai, LUO Yuan, FENG Xinghuan, FENG Qing. Research on Rain Attenuation Compensation Algorithm for X-Band Weather Radar Based on Particle Filter-Kalman Filtering[J]. Radar Science and Technology, 2020, 18(5): 487-493.[点击复制] |
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| 基于P-K滤波的X波段雷达雨衰补偿研究 |
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李 海, 罗 原, 冯兴寰, 冯 青
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中国民航大学天津市智能信号与图像处理重点实验室， 天津 300300
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| 摘要: |
| X波段天气雷达的回波信号经过降雨区时会存在偏振参量的衰减现象，偏正参量的衰减对雨量估计和气象天气分类等会产生影响，针对这一问题，本文提出一种结合了粒子滤波和卡尔曼滤波的方法（P-K滤波）。该方法首先对天气雷达回波数据中的差分传播相移参量利用P-K滤波算法进行滤波处理，进而利用订正的结果采用自适应算法对水平反射率因子进行衰减订正。利用P-K滤波算法和其他算法对相同的雷达数据进行处理对比，其结果表明，P-K滤波算法能够更有效地对差分传播相移进行衰减订正，其处理结果的平滑性和准确性更高，进而对水平反射率因子的衰减订正效果更好。 |
| 关键词: X波段天气雷达 偏振参量 衰减订正 粒子滤波-卡尔曼滤波方法 |
| DOI：DOI:10.3969/j.issn.1672-2337.2020.05.005 |
| 分类号:TN959.4 |
| 基金项目:民机项目（No.MJ-2018-S-28）； 航空基金（No.20182067008）； 中国民航大学蓝天教学名师培养经费; 中央高校基本科研业务费专项资金（No.3122018D008） |
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| Research on Rain Attenuation Compensation Algorithm for X-Band Weather Radar Based on Particle Filter-Kalman Filtering |
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LI Hai, LUO Yuan, FENG Xinghuan, FENG Qing
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Intelligent Signal and Image Processing Key Lab of Tianjin, Civil Aviation University of China, Tianjin 300300, China
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| Abstract: |
| X-band weather radars echo signal will experience the attenuation of the polarization parameter when passing through the rainfall area. The attenuation of the polarization parameter will affect the rainfall estimation and the classification of weather. For the problem, this paper proposes a method that combines particles filtering and Kalman filtering (P-K filtering). In this method, the differential propagation phase shift parameters in the weather radar echo data are firstly filtered using the P-K filtering algorithm, and then the correction result is used to adjust the horizontal reflectivity attenuation using an adaptive algorithm. The P-K filtering algorithm and other algorithms are used to compare and process the same radar data. The results show that the P-K filtering algorithm can more effectively attenuate the differential propagation phase shift, the smoothness and accuracy of its processing result are higher, and then the attenuation correction effect of the horizontal reflectance factor is better. |
| Key words: X-band weather radar polarization parameter attenuation correction particle filtering-Kalman filtering method |
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