基于统计区分度的SAR图像干扰评估方法

李江源王建国

doi:10.3724/SP.J.1146.2007.00903

基于统计区分度的SAR图像干扰评估方法

doi: 10.3724/SP.J.1146.2007.00903

李江源王建国

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出版历程
- 收稿日期: 2007-06-09
- 修回日期: 2008-01-10
- 刊出日期: 2008-12-19

The Method to Evaluate SAR Jamming Based on the Statistical Difference

Li Jiang-yuan Wang Jian-guo

摘要

摘要: 针对干扰信号和目标回波信号在图像上的统计特性差异，该文提出了基于统计区分度的SAR干扰评估方法。借助于独立分量分析(ICA)，把SAR图像域上的干扰抑制问题转化为一种盲源分离问题。分别对高斯噪声干扰和类杂波干扰SAR图像进行ICA处理，并采用峭度准则进行干扰基图像分离。由于类杂波干扰信号具有和SAR回波信号类似的统计特征，相对于高斯噪声干扰的干扰抑制效果降低。理论分析和仿真验证了基于目标回波信号特征的类杂波干扰方法的有效性。
- 合成孔径雷达；独立分量分析；峭度
Abstract: In this paper, a new criterion which is based on the statistical distinction to evaluate SAR jamming effect is proposed, according to the difference of the jamming signal with the target signal. Recurring to Independent Component Analysis (ICA) method, the jamming remove issue can be translated into the blind separation problem. The white noise jamming and clutter jamming SAR images is used as the input to the ICA algorithm respectively, and make use of kurtosis to classify the basis images which span into two different signal subspaces. Because of the clutter jamming signal is similar to the target returned signal on the statistical characteristic, the effect on the jamming remove is degraded contrasted to the white noise jamming. Theory analysis and simulation validate that the jamming method based on the target signal characteristic is availability.

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