太赫兹科学与电子信息学报Issue(2)：250-253,259,5.
一种基于高斯模型的自适应地物杂波滤波算法
An adaptive ground clutter filter algorithm based on Gaussian model
摘要
Abstract
Ground clutter filter is very important in weather radar signal process. Ground clutter will generate strong echo that looks like weather signal, which will disturb weather forecast. The paper introduces the feature of weather signal and ground clutter,analyzes the ground clutter filter used in CINRAD/SA radar now. An adaptive frequency domain ground clutter filter algorithm is proposed based on Gaussian model. The results of two filters are compared based on real radar base data from Tianjin radar site,which show that the new algorithm can effectively remove normal ground clutter and anomalous propagation, and restore weather signal from clutter as much as possible.关键词
脉冲多普勒气象雷达/自适应地物滤波/异常传播Key words
pulse Doppler weather radar/adaptive ground clutter filter/anomalous propagation分类
信息技术与安全科学引用本文复制引用
孙召平,张持岸,张建云..一种基于高斯模型的自适应地物杂波滤波算法[J].太赫兹科学与电子信息学报,2013,(2):250-253,259,5.基金项目
气象行业专项基金资助项目(GYHY200906034)；国家重点基础研究发展计划资助项目(973计划) （GYHY200906034）
