Sparse flight spotlight mode 3-D imaging of spaceborne SAR based on sparse spectrum and principal component analysis

The spaceborne synthetic aperture radar (SAR) sparse flight 3-D imaging technology through multiple observations of the cross-track direction is designed to form equivalent aperture, and achieve third dimensionality recognition. In this paper, combined with actual triple star orbits, a SAR method based on spectrum interferometry principal component analysis (PCA) presented. Firstly, interferometric processing utilized reach an effective representation images in frequency domain. Secondly, as simple principle fast calculation, PCA introduced extract main features image according its characteristics. Finally, can be obtained by inverse transformation reconstructed PCA. simulation results 4.84 km corresponding 1.78 m resolution verify suppression high-frequency sidelobe noise sparsity 49% random receiver. Meanwhile, due influence orbit distribution 7-bit Barker code orbits are given comparison reference illuminate significance for reconstruction results. This has prospects high latitude areas short revisit period.