A Detection Method for Multi-Stage Joint SAR Images Dexterous Suppression Jamming
Synthetic aperture radar(SAR)dexterous suppression jamming combines common noise jamming and repeater jamming technology.It not only requires lower jamming power,but also can flexibly control the shape,position,energy and area of the jamming,which has a great impact on the accuracy of SAR images interpretation.Aiming at the problem that the shape of dexterous suppression interference is changeable and the performance of interference feature identification is limited,which makes the interference difficult to be perceived and detected,this paper proposes a multi-stage joint detection method.Firstly,the key features such as the grayscale,size and Gabor texture suitable for jamming detection are extracted based on the analysis of the characteristics of dexterous suppression jamming.Then the stage-by-stage processing method is used to achieve effective detection of different areas and different shapes.The experimental results show that,compared with the improved CFAR algorithm,PCA and other methods,the combination of key fea-tures can improve the accuracy of jamming detection,and the multi-stage method can improve the efficiency.
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