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3-D imaging of general configuration spaceborne bistatic SAR based on compressive sensing

General bistatic synthetic aperture radar SAR (BiSAR) has unequal velocities or/and nonparallel tracks, which is more challenging to process than monostatic and translational invariant configuration. Bistatic SAR has many advantages in three dimensional tomography than classical monostatic, such as no layover and regularly distribution baseline. However, processing bistatic SAR data has a lot of difficulties. Several monostatic algorithms have been modified to solve the problem of general case, but their performance still need improvement. In this paper, three-dimensional BiSAR signal model is derived, and a novel 3-D imaging of general spaceborne Bistatic SAR based on Compressive Sensing is presented, called NCS-CSM (Nonlinear Chirp Scaling-Compressive Sensing Method). The three dimensional tomography experiments validate the effectiveness and accuracy of NCS-CSM.