LAUSR

Synthetic aperture radar (SAR) may be attacked by multifarious kinds of active jamming, which will lead to the ineffectiveness of SAR in the complex electromagnetic environment. In this article, a novel multi-electromagnetic jamming countermeasure for the airborne SAR is proposed based on maximum signal-to-noise ratio (SNR) blind source separation (BSS). First, the imaging geometry and multicomponent mixed-signal model of airborne SAR are established. Then, based on multicomponent mixed-signal matrix, a BSS method based on the maximum SNR is proposed to separate the real target echo signal from the multi-electromagnetic jamming signals. After real target echo signal identification, the high-resolution images of the interested target area can be achieved by the corresponding SAR imaging method. The simulated and measured data results are presented to prove the feasibility and effectiveness of the proposed method.