MTs phase error analysis in bistatic SAR imagery and two-dimensional sparse-based refocus
In the system of bistatic synthetic aperture radars(SARs),the range cell migration of the moving targets is increased significantly due to the complex data collection geometry,resulting in geometry distortion and smearing in the derived imagery.It is essential to compensate for the motion phase error of MTs.This paper derives the two-dimensional phase error of MTs in bistatic polar formatted imagery.Based on the obtained equation,an over-complete dictionary is built and the spectrum of bistatic imagery is viewed as a sparse representation of the dictionary.The sparse constraint is used to restrain the projection coefficients of the sparse representation and to promote the separation of clutter and refocus of MTs.Finally,the point target simulation verifies the effectiveness of the algorithm.
bistatic SARpolar format algorithmsparse constraintclutter suppressionmoving targets refocus
万方数据
维普
