Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR

摘要

We address the problem of resolving two closely spaced complex-valued points from $N$ irregular Fourier domain samples. Although this is a generic super-resolution (SR) problem, our target application is SAR tomography (TomoSAR), where typically the number of acquisitions is $N = 10 {-} 100$ and $hbox{SNR} = 0 {-} 10 hbox{dB}$.