The Method to Evaluate SAR Jamming Based on the Statistical Difference
基于统计区分度的SAR图像干扰评估方法

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.