摘要
干扰后的合成孔径雷达(SAR)图像可以看作是目标信号和干扰信号的混合信号源,信号空间和干扰信号空间认为是统计独立的,因此图像域上的干扰抑制问题可以转化为一种信号分离问题。借助于独立分量分析(ICA)方法,提出高阶统计量-峭度值作为基图像分类标准,实现了干扰信号的有效抑制。理论分析和对高斯白噪声干扰的仿真实验验证了方法的有效性。
The SAR images can be seen as the mixed signal source of target signal with jamming signal, and the subspaces of target signal and jamming signal may be considered as to be dependent each other, thus the jamming removal problem can be described as signal separation problem. Using independent component analysis （ICA） method, the kurtosis as the criterion to classify the basis images is proposed to removal jamming. Theory analysis and simulation of gaussian white noise jamming show the efficiency of the proposed method.
出处
《电波科学学报》
EI
CSCD
北大核心
2008年第3期491-495,共5页
Chinese Journal of Radio Science
关键词
合成孔径雷达
独立分量分析
峭度
synthetic aperture radar （SAR）
independent component analysis （ICA）
kurtosis
