| 摘要: |
| 在天气雷达信号处理阶段，地物杂波的存在是影响数据质量的最大问题，因此，识别并剔除地物回波是天气雷达信号处理系统的一个重要内容。首先简要介绍了IIR椭圆地物杂波滤波器的原理；其次介绍了结合杂波识别(CMD)算法的自适应高斯频域滤波器(GMAP）的滤波算法和双高斯滤波器(BGMAP)算法，分析了不同回波情况下GMAP滤波器和BGMAP滤波器的滤波效果和运行时间比较；最后根据实际雷达回波信号，分析了IIR椭圆地物杂波滤波器与GMAP滤波器的杂波抑制性能，对两种滤波器结果进行了分析和比较。结果表明，BGMAP滤波器的杂波抑制性优于GMAP滤波器和IIR椭圆滤波器，然而处理时间较长，适合对回波数据的分析，实时处理时使用GMAP滤波器能满足实时处理的要求。 |
| 关键词: 地物杂波 天气雷达 双高斯滤波器 自适应高斯频域滤波器 |
| DOI：DOI:10.3969/j.issn.1672-2337.2019.04.019 |
| 分类号:TN959.4；TN958.2 |
| 基金项目: |
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| Research and Application of a Bi-Gaussian Model Adaptive Processing Filter |
|
WU Xiaoyan，QU Kaifeng，ZHANG Xiaofei
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Anhui Sun Create Electronics Co Ltd，Hefei 230088，China
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| Abstract: |
| The ground clutter is the greatest problem in the signal processing stage of weather radar. Therefore，it is important to identify and suppress these ground clutter signals in weather radar signal processing system. Firstly，this dissertation gives an introduction to the theory of the third-order elliptic infinite impulse response (IIR). Secondly，the Gaussian model adaptive processing (GMAP) filtering algorithm and the bi-Gaussian model adaptive processing (BGMAP) filtering algorithm combined with the clutter mitigation decision (CMD) algorithm are described，and then the ground clutter filter performances and the cost times of the two algorithms are analyzed and compared respectively. In the end，using the data of actual radar echo signals，we analyze and compare the ground clutter filter performances of the IIR algorithm and the GMAP algorithm. The results show that the ground clutter filter performance of BGMAP is better than GMAP and IIR，but costs more time. BGMAP can be used to analyze echo data，and GMAP is suitable for real-time processing. |
| Key words: ground clutter weather radar BGMAP GMAP |
